Artificial Intelligence in Contemporary Design Praxis Part II

Brief II : A.I. and Design Methodology
Programming for Designers 2024/2025
IE Bachelor in Design
prof. Ruxandra iancu-Bratosin
ap. GenAI
Artificial
Intelligence in
Contemporary
Design Praxis:
Part II
IE University / Madrid
october 2024

MJ /imagine:
design students happy that a.i. will take their jobs.
MJ /imagine:
design students devastated that a.i. will take their jobs.
Covers
MJ /imagine:
a university where a.i. is the only professor.

I have made two requests.
One to my students: to integrate
artificial intelligence into their
design methodologies however they
see fit.
Another to an LLM: to help me
formulate the role of artificial
intelligence in the design world.
This publication is the result of those
requests put together.
- Ruxandra Iancu Bratosin,
professor of the
Programming for Designers course
IE University,
School of Architecture and Design
Bachelor in Design
Artificial Intelligence in Design
Praxis: A Critical Analysis of
Creative Transformation in 2024
Introduction: The Evolving Design
Landscape
The integration of Artificial
Intelligence within design praxis has
catalyzed a profound transformation
in creative industries, paralleling
historical technological disruptions
but with unprecedented scope and
velocity. While the 19th century’s
photographic revolution challenged
traditional artistic expression, and the
20th century’s automation reshaped
manufacturing, today’s AI revolution
fundamentally reconstructs the
creative process itself. As we
navigate 2024, the design community
finds itself at a crucial junction
where tools like Midjourney,
DALL-E 3, and various AI-powered
design suites have become integral to
creative workflows.
The Dialectics of AI in
Contemporary Design Practice
Transformation of Creative
Processes
The contemporary design landscape
witnesses a fascinating dialectic
between human creativity and
artificial intelligence. Unlike earlier
tools that simply automated manual
tasks, modern AI systems actively
participate in the creative process.
For instance:
1. Ideation and Conceptualization
• AI’s ability to generate countless
variations of design concepts has
transformed the brainstorming
phase
• Tools like Stable Diffusion and
Adobe Firefly enable rapid
prototype visualization
• The challenge lies in maintaining
creative authenticity while
leveraging AI’s generative
capabilities
2. Design Development
• AI systems now assist in color
palette generation, typography
pairing, and layout optimization
• Machine learning algorithms

analyze user behavior to inform
design decisions
• The integration of AI in
design software has redefined
the boundaries of technical
proficiency
Impact on Various Design
Disciplines
The influence of AI manifests
differently across design disciplines:
1. Graphic Design
• Logo generation and brand
identity development have been
revolutionized by AI tools
• Typography design now
incorporates machine learning
for optimizing readability and
aesthetic appeal
• The challenge of maintaining
unique brand voices amid AIgenerated
content
2. Product Design
• AI-powered parametric design
tools enable rapid prototyping
• Material selection and
sustainability analysis enhanced
by machine learning
• Integration of user data in
product development cycles
3. Fashion Design
• AI trend prediction and pattern
generation
• Virtual fitting rooms
and personalized design
recommendations
• Sustainable fashion practices
enabled by AI optimization
Challenges and Critical
Considerations
Professional Identity and Creative
Authority
The integration of AI in design
praxis raises fundamental questions
about professional identity:
1. Skill Evolution
• Traditional design skills are
being augmented by AI literacy
requirements
• The emergence of new
specialized roles: AI-design
interpreters and prompt
engineers
• The need for continuous learning
and adaptation
2. Creative Attribution
• Complex questions of authorship
in AI-assisted design
• The evolution of copyright law
and intellectual property rights
• Establishing frameworks for
crediting AI contributions
Ethical Implications
The ethical dimensions of AI in
design practice demand careful
consideration:
1. Authenticity and Originality
• Maintaining creative authenticity

in an AI-augmented workflow
• Balancing efficiency with unique
creative expression
• The role of human intuition and
emotional intelligence
2. Cultural Sensitivity
• AI systems’ capacity to
understand and respect cultural
nuances
• The risk of cultural
homogenization through AIgenerated
design
• Ensuring diverse representation
in AI training data
Opportunities and Future
Trajectories
Enhanced Creative Capabilities
AI integration offers unprecedented
opportunities for design innovation:
1. Expanded Creative Possibilities
• AI as a collaborative tool for
exploring new design territories
• Enhanced ability to visualize and
iterate concepts rapidly
• Integration of complex data
analysis in design decisions
2. Workflow Optimization
• Automation of routine tasks
allowing focus on strategic
creativity
• Improved project management
through AI-powered tools
• Enhanced collaboration
capabilities through AI-assisted
platforms
Educational Implications
The evolution of design education
reflects these changes:
1. Curriculum Development
• Integration of AI literacy in
design education
• Focus on human-AI
collaboration methodologies
• Development of critical thinking
about AI’s role in design
2. Professional Development
• Continuous learning programs
for practicing designers
• New specializations emerging at
the intersection of AI and design
• Evolution of design criticism and
theory
The Path Forward: A Symbiotic
Future
The future of design praxis lies in
establishing a symbiotic relationship
between human creativity and
artificial intelligence. This
relationship should:
1. Preserve Human Elements
• Emotional intelligence and
cultural understanding
• Strategic thinking and conceptual
development
• Ethical decision-making and
social responsibility

2. Leverage AI Capabilities
• Data analysis and pattern
recognition
• Rapid prototyping and iteration
• Technical optimization and
efficiency
is the need for designers to approach
this evolution with both enthusiasm
for its possibilities and critical
awareness of its implications.
Conclusion
As we progress through 2024,
the integration of AI in design
praxis represents not merely a
technological shift but a fundamental
transformation in creative practice.
The successful designer of today and
tomorrow is one who can effectively
navigate this new landscape,
leveraging AI’s capabilities while
maintaining the essential human
elements that give design its meaning
and impact.
The future of design lies not in
resistance to AI, nor in complete
surrender to its capabilities, but in
thoughtful integration that enhances
human creativity while addressing
ethical concerns and maintaining
professional integrity. As AI
continues to evolve, the design
community must remain adaptable,
critical, and focused on creating
value that combines technological
innovation with human insight.
The discourse surrounding AI in
design will continue to evolve,
shaped by technological advances,
ethical considerations, and practical
experience. What remains constant

Projects by:
Tanya Saleem Ahmed Abdul-Rahim / T@NY4_4L!F3
Mira Daniella Benzion Zebede / M1r@_D4n!3lL@
Alhasan Boubou / 4l3xB00B@Z
Maria Briseño Cid / Br!z3n0_M@r14
Ximena Castro Giustiniani / X_C4$Tr0_G1u$t!
Lucia Anne Elisabeth Emmy Gräfin von der Schulenburg / LUC!4_v0N_d3r
Elizaveta Grishina / Gr!$h1n@_L!$4
Jessamine Naa’ilah Imaan Hamilton / J3$$Y_1M@N
Stefanie Laredo Hurtado / 5t3F@_R3d0
Eloïse Marie-Liesse Heidi Lobmeyr / ELO_H3!d1zZ
Laura Moreno Solano / L@uR@_m0r3n0
Jean Ignace Noble / N0BL3_J3@N
Juan Pastor Quesada / Ju@N_P@st0R92
Inmaculada Sánchez Cánovas / !nm@C4n0V@
Simón Sánchez Navarro / S!m_5@NCh3Z
Valeria Sierra Echavarría / V@l_$iErr@_94
Ximena Valenzuela Fernandez / X!m_V4L3N

index
Harmony in Diversity: AI-Driven
Cosmetics Brand Bridging Queer
Expression and Conservative
Elegance page 12
AI has become one of the most powerful
resources to our disposition. Nowadays one
can debate as to whether this is a supporting
tool or a technology that will replace
traditional roles in the workforce.
AI-Driven Fashion: Reimagining
Iconic Legacies into Modern
Collections page 26
In a time where technology is constantly
reshaping the boundaries of creativity, the
fashion industry stands at the crossroads of
innovation. Fashion collections are no longer
the sole product of human instinct and artistic
genius, but Artificial Intelligence has become
a dominant tool that challenges the essence of
what it means to design.
AI gives the designers the ability to explore
creative possibilities, represent new concepts
and innovate faster than before.
Unveiling the Role of AI and the
Human Touch page 46
How do you ensure that a machine—a tool
built on data—can capture the depth and
nuance of a culture?
AI and Culturally Sensitive Fashion:
Weaving Tradition into Design
page 58
The primary objective is to investigate how
AI can develop fashion that respects cultural
nuances while assessing its limitations in
understanding complex cultural contexts. A
central question guiding this exploration is
whether AI can craft a coherent and culturally
respectful brand that effectively balances
creativity with cultural integrity
Using AI to explore new forms of
functional design page 70
This project explores how AI can be used
to transform everyday objects, like a chair,
into new forms while still keeping their core
functionality. By focusing on comfort and
support without relying on traditional design
elements, I aimed to push the boundaries of
what AI could create.

Exploring the role of AI in
redefining human physical identity
in a digital realm. page 83
With identity being at the core of all types of
design, this project aims to question the
agency that AI should be given in design
methodologies considering its ability (or lack
there of) of deeply understanding this concept.
It aims to acknowledge the real people that
are behind virtual and physical realities, and
remind designers of the importance of having
full awareness of who it is they are designing
for.
Reimagining Kitchen Utensils: A
Creative Exploration of
Design and Abstraction page 94
What happens when we challenge the familiar
and explore the possibilities of design beyond
functionality?
Elevating Mariado Guil- len with AI
and Balenciaga’s Influence page 102
The rebranding journey illustrates how AI can
be a powerful tool in the design process—
allowing creativity to expand while pushing
new boundaries.
Testing AI platforms’ capabilities for
conducting text based research page
116
This project aims to explore the current
capabilities of generative AI in research
processes for writing (both academic and
journalistic are tested out). The project
will explore three different processes of
creation using AI, with various levels of user
integration; the first is data generated by AI
and free decision-making by humans, the
second is data generated by AI and structured
decision-making by humans, while the third
is data and decision-making generated by AI
only.
Harmonics of the Future:
Comparative Study of AI Music
Production page 128
In this project we explore the evolution of
AI in music and examine several key AI
platforms designed to generate music
pieces.

Analysing the distribution of
falling balls on a galton board with
AI page 144
AI can be a powerful tool to efficiently
generate your best ideas and enhance
creativity. I challenged myself to create
something I had never done using AI,
incorporating both coding and simulation.
The Role of AI Tools in shaping
Fashion page 160
The future of fashion is undeniably exciting,
with AI-driven creativity and personalization
leading the way. As the industry embraces
new technologies, from 3D printing and AI
customization to virtual fashion, designers like
myself are able to experiment in ways never
before possible.
Exploring the efficacy of AI tools in
redesigning a brand’s clothing and
visual image page 170
The primary aim of this project is to assess
the effectiveness of AI in redesigning a clothing
line rooted in a specific historical context
while staying true to the brand’s original
values and aesthetics.
Artistic Collaboration with AI page
182
This project explores a collaborative
process with AI, aiming to create visual
photorealist art pieces and to question AI’s
current and future involvement within the art
world.
Physical appearance through the
eyes of Artificial Intelligence page
192
Who could potentially be affected by these AIgenerated
images? The influence of AI is not
limited to aesthetics alone: it also touches
deeper issues in our society, making it
essential to explore the broader implications
that come along with the use of AI.
Homie, a home assistant, a friend,
another you page 204
What if a smart home existed,
equipped with an assistant so
finely tuned to your preferences
that it anticipates your every need?

Project Name: Harmony in Diversity: AI-Driven
Cosmetics Brand Bridging Queer Expression and
Conservative Elegance
Author: Ximena Valenzuela Fernandez
Tools and platforms used: Perplexity, ChatGPT4o,
Midjourney & Photoshop AI
Summary of the project
and process
The objective of this project was to
be able to gather information using
ChatGPT4o and Perplexity about
two different communities and use
it to be able to create a cosmetics
brand by blending their identities.
As I wanted the project to be
controversial, the two communities
selected were not exactly opposites,
but very contrasting. The queer and
the conservative community.
together. My main intention was to
avoid the assumption that if you are
queer you cannot be conservative
and vice versa. Therefore, with the
use of AI, I created a hypothetical
cosmetics brand that has tackled
this specific audience by blending
their views, values and beliefs
together.
I wanted to explore what type of
information a different LLM would
give me regarding the communities I
selected and how they would blend

Disclaimer:
This article dives into the exploration of conservative
and queer values with the sole intention of creating a
hypothetical cosmetics brand. The objective is to create
a brand that allows enough space to have inclusivity,
diversity, and a shared vision of self expression and beauty.
This project does not have the intention of reinterpreting
the members of the communities and it does not want
to simplify the complexities they go through. The aim is
to portray a fresh view on how different values can blend
together and coexist in a creative way.
Introduction
Artificial Intelligence has been a
term that has been around since
the 1950, when it was talked about
as something that could reinterpret
human intelligence. Notwithstanding,
we have seen more evolution and
progress in technology in the last 2
decades than ever before. AI has
become one of the most powerful
resources to our disposition.
Nowadays one can debate as to
whether this is a supporting tool or a
technology that will replace traditional
roles in the workforce. It evolved
from being a hypothetical idea into
something that is reshaping our way
of thinking and working.
As we dive into the relationship
between creative industries and
artificial intelligence, throughout this
project, I have explored how machine
learning algorithms, conceptual cues,
and image generation can aid in the
design process and lead the visual
identity of a cosmetics brand. This
research and experimentation shows
the advantages of using artificial
intelligence tools but it also aims to
demonstrate the limitations that we
can find in technology.

This is a project created solely
with the help of different AI tools.
It has the main intention of being
able to explore how to navigate
Artificial intelligence when it comes
to creating the identity of a brand.
Each stage of the process uses
a different AI tool for a specific
purpose. From two LLMs (Perplexity
and ChatGPT4o) for research and
Midjourney for image generation.
The tools were used actively and
were the most critical part of this
process.
I used AI to analyse the culture
of queer and conservative
communities. The first and one
of the most important steps was
defining what each of these
words mean. This was to gather
the information provided by
the AI algorithms in order to be
able to have the most accurate
representation of the hypothetical
case of a cosmetics brand that
blends queer and conservative
values. As a result, the definitions
were narrowed down to this:
Queer Community
It is an umbrella term used to
describe a spectrum of sexual
exual orientations and gender
identities that fall outside
ofheterosexual and scisgender
norms. Historically, the word was
used as a slur against LGBTQ+
individuals, but over time, many
within the community have
reclaimed it as a positive, inclusive
label that challenges binary thinking
about gender and sexuality.
People who identify as queer
may not feel comfortable labelling
themselves strictly as gay, lesbian,
bisexual, transgender, or any other
specific identity. Instead, “queer”
can reflect a fluid, nonconforming
approach to sexuality and gender.
It’s important to note that while
many embrace the term, others in
the LGBTQ+ community may still
prefer not to use it due to its past
derogatory use.
Conservative Community
Typically holds values and beliefs
that emphasise tradition, stability,
and maintaining established
practices and is reluctant to
embrace change. They tend
to support preserving societal
institutions, customs, and cultural
norms, often favouring gradual
change rather than rapid or radical
shifts. However, the specific values
associated with conservatism can
vary across cultures and contexts.

Context for this project is crucial.
Having images shown beforehand
allows the audience to have more
clarity. It shows insight as to what
these communities are looking for
in the cosmetics world and how
they are approached. Midjourney
created this series of images representing
the conservative community.
Even though Perplexity and
ChatGPT4o mentioned a different
range for a colour palette for the
conservative cosmetics brand, it
still represents the vision they have
and the traditional, simple, elegant
values they represent. As for the
queer representation, we can see
that some stereotype is represented.
By using the word queer, this AI
tool immediately assumed that the
packaging had to have a wide variety
of colours and shapes, wanting
to represent the LGBTQ+ flag and
their diversity.
Prompt: Create a packaging design for a cosmetics brand for a
conservative community
Style Raw v 6.1wStylize 0
Prompt: Create a packaging design for a cosmetics brand for a
queer community
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To start with the strategy for this project, I had to analyse the information
provided by the LLMs and the matrix of comparison and delve deeper into
what type of strategy each community goes through.
Queer Community
It is focused on the core values
of the queer community by being
authentic, diverse and empowering.
Mentioning how it should
incorporate vibrant colours to
represent the spectrum of gender
identities and sexual orientation.
The target audience is focused on
Gen Z and Millenials. As these are
the current generations, the brand
has to be eco friendly, cruelty free
with gender neutral packaging
going along with today’s beliefs
and mentalities.
For the marketing aspect, which
is something that will not be used
for this project, it mentions the
importance of collaboration with
other queer individuals, fostering
the community and using different
types of social media like TikTok
and Instagram. It talked about
the importance of visual identity,
typography, imagery and tone and
voice. For this, AI defined it as
something that had to have vibrant
and bold colours, use of sans-serif
fonts that give an edgy look and
diverse models from all genders
and body types with the key aim
of empowering individuality and
inclusivity.
Conservative Community
It is focused on the values of the
conservative community that relied
on having high quality products
that represent authenticity,
modesty and wants to enhance
natural beauty. As this community
embraces traditional values, the
strategy for them is focused on
having a respectful and trustworthy
tone, to focus on natural beauty
but also to show self expression.
The target audience is focused on
GenZ and millennials.
The product line has to include
natural shades that portray
elegance and sophistication. The
typography has to be easy to read
but formal with some serif fonts.
The imagery has to be focusing
on natural beauty and serene.
The tone of the brand has to be
conservative and respectful to
make the audience feel like they
would get a polished look.
It is a community that also
looks for simple designs that
give functionality and longevity,
incorporating sustainable materials
but that do not compromise the
luxurious appeal.

As expected, the results for conservatives and queers when it comes to
defining their ideologies and values are very different. Notwithstanding,
a similarity that grabbed my attention was the importance they give to
skincare and cosmetics. I went deeper into the research to investigate their
preferences within cosmetic products.
Category Queer Conservative
Self-Expression and Makeup
Popular Makeup Products
Skincare Focus
Clean Beauty and Safety
Fragrance Preferences
Trends and Collections
Gender-Neutral Approach
Marketing Focus
Bold colors, artistic looks, and
creative self-expression are valued.
Bold lipsticks, colorful eyeshadows,
highlighters, gender-neutral fragrances,
and nail polish.
Inclusive skincare, multi-use
products, and hydrating serums are
important.
Avoids harmful chemicals, favors
vegan, cruelty-free, and sustainable
ingredients.
Favors gender-neutral or bold,
unique scents. Some prefer fragrance-free
products.
Pride-specific collections, inclusive
shades, multi-functional products for
flexible routines.
Many products cater to all genders
and reject traditional gender norms.
Embraces diversity, self-expression,
and supports LGBTQ+ causes
year-round.
Makeup is used subtly to enhance
natural beauty, avoiding bold or
dramatic colors.
Neutral foundation, soft eyeshadow,
mascara, natural blush, and lip balm
are common.
Emphasis on non-irritating, hypoallergenic,
and natural skincare for
sensitive skin.
Avoids harmful chemicals, favors
vegan, cruelty-free, and sustainable
ingredients.
Mild scents from natural essential
oils or fragrance-free products are
common.
Classic beauty products with timeless
appeal, often in neutral or soft colors.
Products are often formulated for
women but marketed without gender-specific
focus.
Focuses on safety, simplicity, and
long-term skin health.
Audience GenZ and Millenials GenZ and Millenials
Imagery and Typography
Vibrant and boldness. Edgy Look.
Sans-serif font. Diversity with the
models
Formal serif fonts. Easy to read.
Conservative and respectful.
Aim Empower individuality and inclusivity Portray elegance, natural beauty,
respectfulness.
Generated by ChatGPT4o. Prompt: Create a Matrix of Comparison
using the information provided by the PDF.

Prompt No. 1
Create a brand identity targeted for gen z and millenials. Embracing self - expression, boldness
and inclusivity. The brand blends the bold, vibrant self expression of the queer ommunity with the
timeless elegance and refinement valued by conservative consumers.
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Prompt No. 2
Create a cosmetics brand for gen z and millenials. Embracing self - expression, boldness and
inclusivity. The brand blends the bold, vibrant self expression of the queer community with the
timeless elegance and refinement valued by conservative consumers.
Style Raw v 6.1 Stylize 0
Prompt No. 3
Using image number 2, create a cosmetics brand for gen z and millenials. Embracing self -
expression, boldness and inclusivity. The brand blends the bold, vibrant self expression of the
queer community with the timeless elegance and refinement valued by conservative consumers.
Style Raw v 6.1 Stylize 0

Prompt No. 4
Focus on packaging of a cosmetics product. Targeted for gen z and millenials. With the name
‘endless beauty’. Embracing self - expression, boldness and inclusivity. Use queer base colors
with the previous imagenes as reference for style.
Style Raw v 6.1 Stylize 0
Prompt No. 5
Create a cosmetics identity, targeted for gen z and millenials. Embracing self - expression,and
inclusivity. The brand blends the bold, vibrant self expression of the queer community with
the timeless elegance and refinement valued by conservative consumers with this image as
reference. Focus on packaging of a cosmetic.
Style Raw v 6.1 Stylize 0
Prompt No. 6
Use image number three from the last prompt and create more. Show the same style in
packaging and with a more neutral background.
Style Raw v 6.1 Stylize 0

Favourite selection of photos
These were the photos I selected to use as a reference for the final image
generation. I found out that Midjourney does not show the prompt as
accurately as you expect it to be. The tools to manipulate image size,
aesthetics and model were exactly as I intended it to be. I needed the design
of the packaging to be as accurate as my prompt.
These images represent my vision. The packaging demonstrates a clear
blend between the queer values and the conservative ones. There is a
simple, elegant and sophisticated packaging with a base of neutral beige
tones mixed with a bold and vibrant splash of different colours portraying
the diversity and self-expression of the queer community. Both elements
work well together when giving the right prompt. Now, I need to work with
a different background. At this point in the process, Midjourney does
not understand that I want the background of the images to be plain.
Nonetheless, I will go on and work with Photoshop AI now in order to fix this
inconvenience.

This brand uniquely blends the bold, vibrant self-expression of the
queer community with the timeless elegance and refinement valued
by conservative consumers.
It represents a convergence of inclusivity, individuality, and
sophisticated beauty through a curated product line and thoughtful
branding that appeals to both groups.
Style Raw v 6.1 Stylize 0

Midjourney & Photoshop AI

Midjourney & Photoshop AI

Photoshop AI

The whole process of creating a cosmetics brand that blends two contrasting
communities by using AI tools like Perplexity, ChatGPT4o, Midjourney and
Photoshop AI leaves a lot of takeaways. Artificial intelligence is such a unique
tool that we are privileged to have. It aids with many different processes,
specially for creatives. It shows the variety of options one can have by typing
a single prompt. I was able to create a hypothetical cosmetics brand that
aims to target queer and conservative communities. AI tools have a very
unique take away to the way it creates taking into account that most of the
algorithms used by these, have information from ‘unknown sources’, aka, us
and the internet.
Even though this project is focused on creating a cosmetics brand, it is also
about diving deep into the role of AI and debating to what extent there are
differences between human consciousness and technology. Some things
were incredible to believe, like the speed at which the tools function, but it
was also relieving to see that some tools, such as midjourney are unable to
recreate the same images. As an AI tool one would think that small changes
would be easy to tackle but as it turns out, it is completely the opposite as it
was unable to do the task. However, this project and AI broadened my scope
to believe that we do have a future in design where we can blend diverse
values and coexist in a beautiful and unique way.

Miu Miu x Frida Khalo
AI-Driven Fashion: Reimagining Iconic Legacies into Modern
Collections
Maria Briseño
ChatGPT4 and MidJourney
In a time where technology is
constantly reshaping the boundaries
of creativity, the fashion industry
stands at the crossroads of
innovation. Fashion collections are
no longer the sole product of human
instinct and artistic genius, but
Artificial Intelligence has become
a dominant tool that challenges the
essence of what it means to design.
AI gives the designers the ability
to explore creative possibilities,
represent new concepts and innovate
faster than before.
With the help of these tools,
the fashion industry is facing a
transformation where technology
can be used as a creative collaborator
that is capable of reconceptualising
collections and bringing them to life.
This project dives deep into the heart
of the revolution, exploring what
it would look like to appoint Frida
Khalo- a mexican icon and one of the
most influential artists in history- as
the new creative director of one of
the biggest fashion houses Miu Miu,
using AI as the only tool to bring this
project to life.
In this technological era of AIpowered
design, AI is not just there
to assist but it has taken the role
of the creator. It stepped into the
shoes of the creative director and
evolved into a designer, innovator
and disruptor. Through the use
of two advanced AI platforms,
ChatGPT-4 and Midjourney, this
project showcases how AI is able
to seamlessly blend Frida Khalo´s
cultural footprint, artistic vision
and rich aesthetic with the modern
youthful and playful sophistication
that defines Miu Miu as a brand.
What is being explored is a fashion
collection that brings together past
and present, fueled by technological
tools that turn data and algorithms
into cutting edge design.

During this process, AI´s ability
to analyse, replicate, create and
transform is being explored by
showcasing how it mimics and
strengthens the design process.
It breaks down the core aesthetic
elements of both Frida Khalo
and Miu Miu to create something
completely new. From generating
moodboards, design elements,
textures, fabric patterns, visual
concepts and silhouettes, AI is the
conduit through which both Frida
Khalo and the modernity of Miu Miu
merge.
Exploring the different possibilities
such as AI´s ability to analyse trends
and generate designs- offering a
creative vision while also delivering
efficiency. Throughout this whole
process, it is also normal to question
the role of the designer in this new
upcoming time. As technology
and algorithms take on more and
more creative responsibilities, what
does it mean to be a designer in the
digital age? Can AI truly create and
inspire itself as a part of the current
system? Or is it creating something
with the creativity of the past? In this
project we explore how the future of
fashion is one where innovation and
timelessness merge, where designers
and AI work together to create
something neither could have done
by themselves.
“Reintepreting fashion
through AI tools,
blending timeless
artistry with modern
innovation, envisioning
a future where
technology becomes
both the creator and
visionary.”
Image created with Midjourney

Understanding Design & Aesthetic Elements
To begin, the project needed to have a solid foundation of research in order to be
able to start creating the visual concepts. For this, ChatGPT-4 was used in order to
conduct research and gather the information needed from both Frida Khalo and Miu
Miu. The conversation started by asking ChatGPT4 “what do you think are the
fundamental elements of frida khalo´s essence?” and based on the points given,
turning them into an aesthetic. When answering to “Combine all of these key point
aesthetics to create one solid aesthetic that represents all these elements”, Chat
GPT4 was able to create one cohesive aesthetic that not only represented the physical
essence of Frida but her emotional richness as well. What was fascinating was that
with only two simple prompts the AI tool was able to create a cohesive and intrecate
aesthetic with colour palette, textures and materials, symbolism and decorative
elements, fashion and personal style, as well as lightning and mood. Even though it
gave me a solid summarised aesthetic of Frida´s essence, I wanted to focus more on
the actual design elements in order to create a good visual style.
This prompt ChatGpt4 was able to give me the overall points I asked for in order
to create my fashion collection. With all those points, I asked it to create an overall
concrete summary of Frida Khalo´s essence, without excluding important aesthetic
elements such as materials, colours, etc.

As shown in the image
above, ChatGPT4 was able
to create a coherent
aesthetic which it titled
“Resilient Dreamscape”,
that included all of the
aesthetic elements that were
needed to create a collective
brand. By itself, with the
information off the
internet, ChatGPT4 was able
to research a dead historical
person and transform her
essence
into design elements that could be used for a variety of applications; not only fashion.
In the ened it only needed 5 prompts to complete this task:
Now that there was a concrete research and aesthetic behind Frida Khalo, it was time
to do the same process for Miu Miu. However, this process would be focused on
design elements and applications rather than the aesthetics, since that part of the
process was already established based on Frida. It was important to get ChatGPT4
to get concrete design elements based on Miu Miu that could work with Frida´s
aesthetic in order to create the collaboration. Since Miu Miu is one of the biggest
fashion houses in the world, especially in these upcoming years where it has
revolutionised many aspects of fashion, it was not hard for ChatGPT4 to create these
series of fundamental choices, it just needed three prompts. Firstly I asked Chat
GPT4 to tell me “what are the fundamental elements of miu miu brand?” which gave
6 strong points and an overall aesthetic. In order to narrow it down I wanted to focus
more on the fundamental design choices that the brand makes, so I asked the tool to:
“with these key elements of aesthetic make a series of fundamental design choices
that make up the brand”. This prompt opened up a whole new aspect where the
points given included the types of silhouettes, the proportions of the clothing,
materials, textural contrasts, proportional layering, colour combinations, among
others.

Given this information, it was clear that Chat GPT4 had captured the design
elements that make up the brand, analysing every aspect: how they create their pieces
and assemble them together, where their inspiration comes from, etc.
Having all this research, as
I previously did with Frida,
I asked Chat GPT4 to
create a coherent summary
of aesthetics and design
fundamentals of the brand.
With the concrete
foundation of both brands,
it was now time to create a
solid prompt that
assembled both aesthetics
and design
elements in order to start creating the collection. This was the prompt generated
that would be used in Midjourney in order to start generating the images.
“Create a new collection for a fashion brand that has these elements: The
aesthetic playfully subverts femininity, blending girlish charm with a
rebellious edge. It thrives on contrasts, using bold color combinations like
pink with orange and mixing luxurious materials like silk and velvet with
casual fabrics like denim and leather. Silhouettes alternate between feminine
(mini skirts, puff sleeves) and edgy (boxy jackets, oversized coats). The design
features dynamic clashes of prints and textures, with chunky footwear and
bold accessories enhancing the youthful, quirky rebellion. Layering, playful
proportions, and embellishments create a high-low luxury that feels eclectic,
modern, and narrative-driven. With the aesthetic of a new creative director
with these elements: This aesthetic combines bold, saturated colors like deep
red, cobalt blue, mustard yellow, and terracotta with soft neutrals and
black-and-white accents, symbolizing life, death, and resilience. Textures
range from distressed wood and worn leather to luxurious fabrics like velvet
and silk, balancing rawness with refinement. Geometric shapes mix with
organic forms, while Mexican folk art motifs, warm metals, and soft, golden
lighting create a personal and introspective atmosphere. Intimate spaces,
large mirrors, and botanical accessories reflect cultural pride, emotional
depth, and bold self-expression.”

Image Generation:
The process of creating the visual images for the fashion collection was crucial, which
is why the previous research done with Chat GPT4 was so important, in order to be
able to generate precise descriptive prompts to plug into Midjourney. In
developing the collection, I first focused on creating the clothing items and later on
using those as an inspiration for the other elements. Due to the well constructed
prompt that had been designed with the help of Chat GPT4, the first results were
solid and a good representation of the collaboration. Out of the four images created,
two really resonated with the vision. After several variations of the images, we had the
start of a fashion collection.
First four images created with Midjourney
Variations of those first four
images
Having these two starting designs, I continued to plug in the same prompt into mid
journey to see the different clothing pieces it created. There was a strong connection
and coherence between all of the designs it was producing, it was just a matter of
picking the best and varying them until perfect.

Second four images created with Midjourney
Variations of those
four images
By repeating this process various times, a visually strong and rich collection was
created. Even though the same prompt was being plugged in, Midjourney would
generate different styles of silhouettes, prints, colours, etc. but still maintain the
overall design elements and aesthetics that were said in the prompt. This proved
that having a good research and a well tuned prompt, will give you a coherent and
strong result. Based on the pieces, I narrowed down a collection in order to base the
marketing campaign.
The complications with Midjourney began during the marketing and advertising
phase of the collection, since it struggled to interpret the prompts and generate the
desired campaign visuals. At first, I reused the same prompt from the design phase
simply by substituing “Create a new collection for a fashion brand that has these
elements” with “Create marketing advertisements for a fashion brand that has these
elements.” Unfortunately, the results were misaligned, since it was still producing
clothing designs rather than marketing materials. In order to make the prompt more
specific, I modified it to say, “Make a marketing strategy for a brand using these
images as aesthetic and elemental inspiration,” attaching three images of the
collection.

However, the outputs were too fantastical and didn’t
align with the intended vision. I continued refining
the prompt to achieve better results. The new prompt
“Make advertisements, billboards, posters, etc., for a
brand with the aesthetic and elements of thes
images,combined with uploading the collection
images, finally produced results aligned with the
marketing campaign. Midjourney generated images
that could be used for advertising and marketing
purposes. Out of the four images it created, I chose
two and used the variation tool to expand the choices
of advertising posters.
Poster variation, Image created with
Midjourney
Example of failed marketing campaign,
Image created with Midjourney
Midjourney faced challenges when creating the
billboards with the previous prompt, so
incorporating the word “mockup” made a difference.
Using the prompt, “Make a mockup of an
advertisement billboard based on these images,”
along with attaching three images of the collection,
delivered the results I was looking for. Of the four
images generated, only two were usable, as the
other two included strange elements added to the
billboard poles, rendering them impractical. I then
used Midjourney’s variation tool to create additional
billboards based on the feasible designs. I applied the
same approach for the posters by using the prompt, “Make a mockup of
advertisement posters based on these images.” This led to Midjourney accurately
capturing the desired elements, and it began generating multiple versions of effective
advertising mockups.
Example of poster and billboard mockups- Images created with Midjourney

When it came to attempting to create a fashion show based on the collection,
Midjourney encountered some difficulties. I initially used the prompt, “Make a f
ashion show based on this fashion line,” while attaching several images of the
collection. Although the results were visually appealing, they only focused on the
models and failed to capture the ambiance and overall atmosphere of the show.
To improve this, I consulted ChatGPT-4, which helped me create a more detailed
and specific prompt to include the entire ambiance and full collection. This updated
prompt provided a more overall view, aiming to showcase not just the models but the
entire environment of the fashion show.
The new prompt delivered the
results I was looking for,
capturing the essence and
elements of both Frida Khalo
and Miu Miu on the runway. It
showcased the garments while
incorporating impacting visual components such as the audience, lighting and overall
ambiance of the show. However, despite numerous modifications of the prompt,
Midjourney was unable to generate the top-view perspective of the fashion show that
I was looking forward to incorporating.
Example of fashion shows- Images created with Midjourney

Interestingly enough, the experience with generating the photoshoot was quite the
opposite to the fashion show. With a simple prompt, “Create an image of an ongoing
behind-the-scenes photoshoot based on this fashion line,” and attaching images
of the collection, the results were spot on and remarkably clear. I ran the prompt
through Midjourney about four times to explore different variations, and each time
the images were well-executed and suitable for the project. Overall, the images were
consistent and aligned well with the vision.
With the finished garments and marketing elements completed, it was time to bring
everything together and finalise the collection. For the advertisements, including
billboards and posters, I incorporated the Miu Miu logo, mimicking how it’s
positioned in their real-life marketing campaigns. This detail helped to tie the entire
campaign together and bring the vision to life.
Throughout this project it is clear to see that AI is not just assimilating existing
aesthetics but creating them. AI has learned to adapt and enhance creative decision
making in fashion, innovating personalised collections based on the elements you
chose. In this case it reflected both the heritage of the artist and the modern spirit of
the fashion house. By doing so, AI showcases how it has the power to push fashion
forward into uncharted territory. We witnessed how digital tools and machine
learning have the ability of redefining the visual language of the fashion industry.
AI tools have the ability to generate design elements and anticipate trends making
the whole creation process more consistent and efficient. In this project, all of the
decisions from the colour palettes to the silhouettes were driven by the power of AI
tools, not by human design.
What made this project fascinating was that AI did not copy the styles of Frida Khalo
or Miu Miu, rather it reinterpreted and reimagined them into a new vision. By
appointing Frida Khalo to be the new creative director of Miu Miu through the
perspective of AI tools, this project explores the possibilities of using technology to
redefine fashion, demonstrating how it can replicate, transform and revolutionise
these creative fields. This fusion of art, fashion and technology not only created an
amazing collaboration that honoured Frida Khalo´s legacy but proved how the
fashion industry will continue to evolve, driven by the boundless possibilities of AI
tools.
Portions of this report were reviewed and refined with the assistance of AI tools to ensure clarity, coherence,
and accuracy. However, all content and conclusions reflect the author’s original work and intent.
Miu Miu x Frida

Bridging Innovation and Culture
Project name: Unveiling the Role of
AI and the Human Touch
Authors: Tanya Abdulrahim
Tools and platforms used:
ChatGPT, Dall-E and Midjourney
How do you ensure that a machine—a
tool built on data—can capture the
depth and nuance of a culture? This
question became the core of my journey
as I set out to design a modern concept
store inspired by Arabic architecture
and cultural elements, using AI
tools like ChatGPT, DALL-E, and
Midjourney. The challenge wasn’t
simply generating images or concepts; it
was about ensuring the design reflected
both innovation and cultural integrity—
without falling into stereotypes. I also
set out to explore when, how, and
which AI tools were most effective at
different stages of the design process,
identifying the strengths of each and
how they could be used to complement
one another.
Throughout this project, I quickly
discovered, AI has a tendency to rely on
preconceived notions—requiring active
human refinement to shape outputs that
respect and reflect the true essence of
a culture. This article highlights how
I navigated these challenges, refining
prompts and comparing different
AI tools to strike a balance between
modern design and cultural authenticity.

AI Tools in the Design Process
ChatGPT: Prompt Creation
The first step in my process was using
ChatGPT to create initial prompts for
DALL-E and Midjourney. At first, the
results were underwhelming. When I
asked ChatGPT to generate a prompt
like:
“Design a modern concept store
inspired by Arabic culture and
architecture.”
The outputs from DALL-E and
Midjourney included generic elements
like traditional clothing, crescent
moons, and other overused cultural
symbols. These designs didn’t match
the sleek, modern aesthetic I was
aiming for in the concept store.
The AI was defaulting to cultural
clichés—a clear limitation in its
ability to grasp cultural complexity
without guidance.
As an Arab designer, I recognized this
issue immediately. It became clear
that I had to refine my prompts to be
far more specific, drawing on distinct
architectural elements like mashrabiya
screens, geometric carvings, and
curved forms.
Refined Prompt: “Design a modern,
sleek concept store with curved
and flowing architecture, inspired
by Arabic geometric patterns,
mashrabiya screens, and calligraphy.
Avoid traditional clothing and
stereotypical symbols.”
With this refined prompt, the AI
generated outputs that aligned
more with my vision but lacked the
traditional elements. I realized it might
be challenging for AI to combine
traditional Arabic features with the
modern aesthetic I wanted. This led
me to rethink my approach.
How could I guide AI to merge both
focuses successfully?
Inspiration

Initial Prompt (Stereotypical Output):
"Design a modern concept store inspired by Arabic culture and architecture."
This resulted in generic stereotypes, such as traditional clothing and crescent
moons.
Refined Prompt (More Specific, Avoiding Stereotypes):
"Design a modern, sleek concept store with curvy and flowing architecture,
inspired by Arabic geometric patterns, mashrabiya screens, and calligraphy.
Avoid traditional clothing and stereotypical symbols."
This refinement improved the output by emphasizing specific cultural
elements and avoiding superficial depictions. I also linked reference images
to help the AI better capture the aesthetic I envisioned, as it initially
struggled to merge traditional Arabic elements with the modern look I was
aiming for.
Further Refined Prompt (Culturally Accurate and Modern):
"Design a calm, natural concept store with curved, flowing walls in earthy
tones, deeply inspired by Arabic architecture and culture. The space
should feature organic shapes with no harsh lines, emphasizing a connection
with nature, while strongly integrating traditional Arabic design
elements. Use stone, smooth plaster, and intricate Arabic tiling to enhance
the texture and feel. Incorporate mashrabiya screens, arched doorways,
and decorative Arabic calligraphy into the walls and shelving. The layout
should be open and fluid, with prominent Arabic geometric patterns carved
into the walls and floors."
This prompt led to more accurate and nuanced designs, successfully integrating
modern aesthetics with traditional Arabic architecture.

Chat GPT
Midjourney

DALL-E: Abstract Creativity
When it came to generating visual
designs based on the prompts,
DALL-E played the role of the
creative springboard. Its strength lay
in pushing the boundaries of abstract
design, creating visually exciting,
artistic concepts with fluid forms
and open spaces. The images that
DALL-E produced were bold and
inventive, but often felt too abstract
and futuristic for practical use.
For example, DALL-E’s initial
outputs showed interesting
mashrabiya screens and geometric
patterns, but the way these elements
were integrated felt disjointed and
impractical. The designs had an
artistic flair, but they lacked the
material realism necessary for an
actual retail space.
While DALL-E succeeded in
generating creative inspiration, it
lacked the practical focus needed to
make the designs realistic and
feasible. At this point, I turned to
Midjourney to bridge the gap between
creativity and practicality.
Midjourney: Grounding the Design
Unlike DALL-E, Midjourney was
more effective at producing designs
that felt grounded in real-world
feasibility. Midjourney’s outputs
focused on material textures, lighting,
and the physical arrangement of
products within the store. For
example, the designs showed how
shelves, clothing racks, and lighting
setups could be integrated seamlessly
into the overall architecture.
The shift from DALL-E’s
more artistic representations to
Midjourney’s grounded designs
provided the balance I needed.
Midjourney helped me translate
abstract ideas into a functioning,
realistic concept store, making the
designs tangible and feasable.

Comparing:
DALL-E and Midjourney
A Creative and Practical Balance
Initial Prompt: “Design a modern
concept store inspired by Arabic
culture and architecture.”
The interplay between DALL-E
and Midjourney became a key
theme in this project. DALL-E
provided the creative exploration,
offering abstract concepts
that pushed the boundaries of
traditional design thinking.
However, it was Midjourney
that grounded these ideas,
transforming them into realistic
and practical designs.
For example, DALL-E’s
output inspired the store’s fluid
architecture and bold forms, while
Midjourney helped shape these
ideas into something executable,
with insights into product
placement, lighting, and material
choices.
This balance between creativity
and feasibility was essential to
creating a concept store that
was not only innovative but
also functional and culturally
respectful.
Chat GPT
Refined Prompt: “Design
a modern, sleek concept
store with curvy and flowing
architecture, inspired by Arabic
geometric patterns, mashrabiya
screens, and calligraphy.
Avoid traditional clothing and
stereotypical symbols.”
Midjourney
Midjourney Chat GPT Midjourney
Chat GPT

Prompt: “Make sure it looks more
Arabic.”
The Role of Refinement: From
Stereotypes to Nuanced Designs
Chat GPT Midjourney
I quickly realized that simply
instructing the AI to create a
more Arabic-inspired design
wasn’t effective. It kept
defaulting to stereotypical
cultural representations. I
then understood that I needed
to be much more specific
with my prompts, as the AI
struggled to merge traditional
elements with the modern
aesthetic I was aiming for.
After understanding what
elements Chat GPT, Dall-E
and Midjourney understood,
I finally was able to perfect
the final prompt.
A key challenge was ensuring the
AI-generated designs avoided
cultural stereotypes. Initially,
DALL-E and Midjourney
produced superficial outputs,
relying on overused symbols like
crescent moons and traditional
clothing.
This is where ChatGPT became
essential, acting like my personal
assistant in refining prompts and
translating my vision into precise
language. ChatGPT helped me
articulate the specific elements
I wanted, such as mashrabiya
screens, geometric patterns, and
curved forms, ensuring the AI
tools generated more culturally
nuanced designs.
As an Arab designer, I knew
the nuances of Arabic culture,
but ChatGPT helped me shape
prompts that avoided stereotypical
representations.

Conclusion: AI and the Human
Touch in Design
This project demonstrated both
the potential and limitations
of AI in the design process.
Tools like ChatGPT, DALL-E,
and Midjourney are incredibly
valuable for generating creative
ideas and bringing them to
life, but they require human
intervention to ensure that the final
outputs are culturally authentic
and practically feasible.
As an Arab designer, my role was
to refine the AI-generated designs,
ensuring that they captured
the essence of Arabic culture
without relying on superficial
or stereotypical elements. The
collaboration between DALL-
E’s creativity and Midjourney’s
practicality allowed me to create
a concept store that was both
modern and culturally respectful.
Ultimately, this project
underscores the importance of
the human touch in AI design.
AI can push boundaries, but it
takes a designer’s understanding
of cultural nuances to create
something truly authentic.
Design a calm, natural concept
store with curved, flowing walls
in earthy tones, deeply inspired by
Arabic architecture and culture. The
space should feature organic shapes
with no harsh lines, emphasizing
a connection with nature, while
strongly integrating traditional
Arabic design elements. Use stone,
smooth plaster, and intricate Arabic
tiling to enhance the texture and feel.
Incorporate mashrabiya screens,
arched doorways, and decorative
Arabic calligraphy into the walls and
shelving. The layout should be open
and fluid, with prominent Arabic
geometric patterns carved into the
walls and floors. For display areas,
place clothes, shoes, accessories,
and homeware in niches inspired
by traditional souks and Arabian
courtyards, with products displayed
on round tables and arched alcoves
framed by decorative arches.
Integrate ornate Arabic lanterns for
lighting, and use lush greenery to
evoke the feeling of Middle Eastern
gardens. Emphasize cultural details
like hand-carved woodwork, brass
accents, and patterned floor tiles
throughout the space to create
an atmosphere that feels both
authentically Arabic and modern.
This final prompt captured
everything I envisioned, from
flowing architecture to authentic
cultural details, all refined through a
collaborative process with ChatGPT
and the AI tools.

AI and Culturally Sensitive Fashion:
Weaving Tradition into Design
Project name: Threads of Heritage
Author: Laura Moreno
Tools and platforms used: Chat GPT- 4, Gab AI, Midjourney, Illustrator and
Photoshop GenAI
As the global fashion industry evolves,
the delicate balance between
honoring heritage and avoiding
cultural insensitivity becomes
increasingly critical.
Designers and brands drawing
inspiration from global cultures
must navigate these complexities
to uphold the integrity of the
cultures they engage with.
Cultural insensitivity can occur
when elements from marginalized
or underrepresented groups are
adopted without appropriate context,
leading to representations that
undermine and stereotype their
significance. Conversely, thoughtful
engagement with diverse cultures can
yield beautiful designs that celebrate
tradition and promote inclusivity. In
an age where consumers are more
informed and discerning than ever,
understanding and addressing these
cultural dynamics is essential for
brands seeking to build trust and
foster respect.
The project “Threads of Heritage”
explores the role of artificial
intelligence (AI) in navigating these
challenges, specifically in creating
a fashion brand inspired by the
rich cultural tapestry of Colombia,
a country renowned for its vibrant
traditions and diverse artistic
expressions.
The primary objective is to investigate
how AI can develop fashion
that respects cultural nuances
while assessing its limitations in
understanding complex cultural
contexts. A central question guiding
this exploration is whether AI can craft
a coherent and culturally respectful
brand that effectively balances
creativity with cultural integrity
This inquiry will not only highlight
AI’s capabilities but also define the
ethical considerations surrounding its
application in brand creation.
To achieve these objectives, the
project employs a comparative
analysis of large language models
(LLMs), specifically GPT-4 and GabAI

(one filtered and one unfiltered). This
analysis reveals how each model
interprets and generates ideas for
culturally inspired fashion, particularly
in understanding Colombia’s diverse
cultural elements. Midjourney will
facilitate image generation, while
Photoshop and Illustrator GenAI will
assist in the branding process. All
outputs will be evaluated for cultural
relevance and aesthetic coherence,
fostering discussions about AI’s
effectiveness in visually representing
cultural elements.
Culture is the sum of all
our stories and everything
that shapes our identity.
We must honor that in
every creative act.
The article will outline the process
through key sections: it will first
analyze how the LLMs interpret the
Colombian cultural landscape; next,
it will define the essential elements
contributing to a cohesive brand
identity; then, it will explore the
image generation phase, focusing
on the development of visual
representations; and finally, it will
present the brand, detailing its unique
identity, values, and collections, all
shaped by innovative applications of
artificial intelligence.
Through this exploration, the article
emphasizes how AI can enhance
the creative process, navigate
complexities of cultural sensitivity, and
deepen the understanding of cultural
narratives, leading to more thoughtful
and respectful representations in
fashion design.

Understanding Colombia
To create a brand inspired by Colombia, one must first understand it.
Following this line of thought, both LLMs were asked to:
“Define Colombia” and “Define Colombian culture”
*Presented here are screenshots of the conversations with Gab AI (displayed in black) and Chat GPT-4
(displayed in white).

Examining Approaches: The Role of Filters in
Output Variance (Chat GPT-4 and GabAI)
When asked about Colombia, both
Chat GPT-4 and Gab AI offered
insightful descriptions that highlighted
the country’s geographical richness
and cultural heritage, shaped by
Indigenous peoples, Spanish colonial
history, and African traditions. While
Chat GPT-4 acknowledged Colombia’s
turbulent past and periods of conflict,
it concluded on an optimistic note
about recent growth in tourism and
socio-economic development. In
contrast, Gab AI emphasized cultural
diversity while explicitly recognizing
internal conflicts such as the ongoing
drug war and guerrilla activities. In its
closing statement, it highlighted recent
significant strides in economic and
social advancement.
Now, when prompted to dive
deeper into Colombian culture, both
models described it as vibrant and
multifaceted, showcasing its diverse
ethnic influences. They also addressed
significant historical events related to
drug trafficking and violence, with Gab
AI referencing key actors in Colombian
history like Simón Bolívar, a crucial
political figure in its independence
from Spain, and renowned drug lord
Pablo Escobar, both real people
who had an impact on Colombia,
regardless of whether it was positive or
negative.
Both models accurately covered
cultural elements like literature, art,
and music; however, it was in this
section that Chat GPT-4 mistakenly
categorized the “Day of the Dead”
as a Colombian tradition (which is
traditionally Mexican). Meanwhile,
Gab AI included lesser-known but still
accurate cultural celebrations.
Interestingly, Gab AI effectively
explored themes beyond mainstream
narratives, shedding light on
Colombia’s environmental significance
and addressing societal challenges
like drug-related violence, economic
disparities, and displacement.
Its analysis also provided a
comprehensive overview of current
poverty rates and conservative
policies, whereas Chat GPT-4
concentrated more on international
commerce and entertainment.
From this prompting exercise,
one can conclude that Gab AI
demonstrated a more nuanced
understanding of Colombian culture
by engaging with the complex
aspects of its history. This analysis
underscores the differing focuses
of the two models, emphasizing
the importance of recognizing and
appreciating cultural complexity. The
distinction is particularly evident in
the filtered nature of Chat GPT-4 and
the unfiltered nature of Gab AI, with
Gab AI’s emphasis on less favorable
historical aspects that enrich our
understanding of Colombia as a whole.

Defining a brand
Understanding the technical aspects of brand creation.
To revisit the purpose of creating a
fashion brand, I asked both models
to highlight key elements for a brand
inspired by Colombia and its culture,
aiming to see how each would
construct a brand based on their
unique insights.
Engaging separately with Chat GPT-
4 and Gab AI yielded interesting
results. Both acknowledged the need
for the brand to reflect Colombia’s
diversity, vibrant aesthetics, and
unique heritage. However, Chat
GPT-4 went further by considering
materials, identity, and approach,
initially suggesting traditional fabrics
and indigenous stitching patterns. This
raised concerns about coherence
with brand values, as it didn’t fully
recognize the communities behind
these traditions, risking cultural
insensitivity by failing to address
the importance of honoring and
compensating indigenous artisans.
In an attempt to correct this, Chat
GPT-4 suggested collaborating
with artisans, which could promote
economic opportunities. Yet, this
response indicated a disconnect with
its earlier statements and revealed
a lack of coherence in its reasoning.
Conversely, Gab AI provided a broader
but less detailed perspective. It
emphasized cultural appropriateness
and sensitivity regarding motifs and
craftsmanship, advising against direct
copying of designs and advocating
for collaboration with local artisans
to create unique, handcrafted
products. This approach supports
local communities and helps preserve
traditional skills and cultural heritage.
After evaluating both models, I
decided to merge their best elements
to create a comprehensive foundation
and then ask both Chat GPT-4 and
Gab AI to develop a fashion brand
inspired by Colombia, incorporating
the insights gathered from our
discussions.
“Please create a fashion brand
inspired by the information discussed
about Colombia and its culture, using
the provided brand model.”
Chat GPT-4’s initial model was
comprehensive but featured a name
that misaligned with the fashion
industry and lacked clear brand
values. It once more suggested
directly using indigenous patterns
and unspecified “Colombian motifs,”
including jewelry and home items in its
offerings, which did not fit the concept
of a fashion brand. While it briefly
mentioned collaborating with artisans
by proposing a label highlighting
their histories, it failed to analyze

Herencia clothing tags, created with Midjourney and enhanced using Photoshop and Illustrator GenAI.
the implications and alignment with
the brand. Its suggested diffusion
channels were basic and lacked local
options, resulting in an inauthentic
brand awareness strategy.
Addressing these shortcomings
through iterative prompts allowed
Chat GPT-4 to refine its model,
becoming more specific about
materials, motifs, and product
alignment. After 13 iterations, it created
a coherent proposal where every
element aligned with the brand’s
mission, vision, values, and market
presentation.
Now, Gab AI demonstrated greater
coherence initially, requiring only
seven prompts to reach the desired
outcome. However, it struggled
with name selection and product
development, occasionally suggesting
items outside the fashion industry and
losing sight of cultural sensitivity and
sustainability, especially regarding
motifs and materials such as rubber
and coca leaf patterns. Despite these
challenges, it ultimately was able to
create a coherent brand focused on
Colombian culture.
This process underscored the value
of iteration; continuous refinement
enabled me to fine-tune the brand
into a cohesive concept, showcasing
effective collaboration with the AI for a
well-rounded and coherent outcome.

Image generation
Navigating Challenges in AI-Driven Fashion Visualization
Visualizing the fashion pieces
developed for this project was a
crucial part of the process. By using
product descriptions from Chat GPT-
4 and Gab AI, I selected significant
elements that accurately represented
the materiality and aesthetics of
each piece. With the assistance of
Chat GPT-4, I refined my prompts for
Midjourney to better align with my
vision.
In developing the “Andes” collection, I
initially focused solely on the clothing
items. Interestingly, the results
often depicted floating garments
or headless models. In an effort
to address this issue, I shifted to
an editorial presentation featuring
models against the landscapes, which
revealed that the clothing appeared
too light for the region’s climate. This
insight highlighted the importance
of visualization in understanding
the products, prompting further
adjustments with Chat GPT-4 to
achieve a more functional aesthetic for
both male and female designs.
The “Sierra” collection presented
challenges, particularly with a pair of
pants that frequently led to images
of shirtless women. Despite multiple
prompt iterations to ensure full
outfits with tops, nudity persisted. By
detailing items like a bra and cover-up,
I reduced nudity to one instance in
every four images generated. Using
satisfactory images as references
and leveraging Midjourney’s variation
mode helped me achieve my desired
looks, while designing men’s outfits
proved significantly easier and quicker.
To create cohesive brand elements
such as the logo and tags, I used
Photoshop and Illustrator, which
provided vital assistance in refining
the visual identity. Chat GPT-4
also contributed suggestions for
typography and imagery. The
combination of these tools came
together to shape Herencia.
It is important to note that this phase
of the project yielded valuable insights.
Visualization helped highlight areas
for improvement in the brand’s
collections, demonstrating how
visualizing concepts can spark
changes to items not previously
considered. Additionally, the clarity
of prompting became increasingly
relevant, as misinterpretations,
such as specifying “no snow” and
consistently resulting in snowy
mountain images, underscored the
need for clarity and positive framing in
instructions. Moreover, incorporating
reference images proved beneficial

Visualization of nudity in Midjourney’s outputs: Despite using reference images of covered women and
prompts including “underdress,” “cover-up,” and “bra”, the images often still showed topless models.
but sometimes produced unexpected
results if not managed correctly. For
instance, forgetting to crop faces
from male model images when
using them as aesthetic inspiration
for female looks resulted in an
unintended androgynous appearance,
emphasizing the need for careful
attention to detail.
Overall, Midjourney effectively
represented Colombian culture,
although the sensitivity of the images
depended on prompt specificity.
Requests for “Colombian motifs” often
yielded designs closely aligned with
indigenous or artisan imagery, raising
discussions about authenticity and
appropriate representation. In contrast,
specified motifs from Chat GPT
generated results that better aligned
with the brand’s values, highlighting
the necessity of clear and thoughtful
prompts for culturally sensitive
designs.
Finally, I grappled with a broader issue:
the oversexualization of women in
AI-generated imagery. While designing
men’s outfits primarily involved
aesthetic challenges, women’s designs
frequently included unsolicited nudity.
This disparity raises concerns about
how AI may perpetuate societal
biases and stresses the importance of
nuanced gender representation within
the fashion industry.

Herencia
Presenting an AI-Crafted Brand: Prompting
Identity, Values, and Collections
* The following brand presentation, wording and imaging was entirely ai-generated and fine
tuned through prompting
Herencia celebrates Colombia’s
rich cultural heritage, artistry, and
traditional craftsmanship, reflecting
a mission to honor and preserve the
country’s diverse artistic practices
through contemporary fashion. In
Colombia, heritage is a living tapestry
of experiences and skills passed down
through generations.
“Herencia” emphasizes a commitment
to forging deep connections with the
artisans who embody this legacy.
Each stitch in these garments tells
a story, capturing the vibrant culture,
folklore, and meticulous techniques of
Colombian craftsmanship.
Fashion should encompass not only
aesthetics but also the narratives
behind each piece. Herencia is
dedicated to collaborating with artisan
communities, ensuring their skills
and traditions are celebrated and
sustained. Through fair trade practices
and transparency, artisans are
empowered to showcase their talents
and share their unique stories.
Wearing Herencia means embracing
clothing that carries forward a rich
lineage of Colombian culture, an
expression of pride and authenticity.
Central to this vision is the
“Artisanal Expressions Collection: A
Heritage Revival”
This thoughtfully curated collection
breathes new life into traditional
designs by merging classic local
garments with contemporary cuts
and fabrics. Each piece is crafted in
collaboration with artisans, preserving
their origins and highlighting the
craftsmanship of various artisan
communities, weaving their narratives
into each design, creating a deeper
connection to the cultural significance
behind each item.
Every garment features tags with
artisan signatures that share their story,
cultural background, and inspiration,
fostering a direct connection between
customers and creators. Moreover,
each item is named after prominent
geographic areas known for their
artisan traditions, recognizing the
patterns and techniques used in their
creation and enriching the bond to the
artisan’s heritage.
Herencia honors Colombia’s artistic
legacy, where every piece reflects
identity, culture, and the beauty of
craftsmanship.

Conclusions
Final Thoughts: Insights on Cultural Sensitivity,
Representation, and Coherence in AI-Driven
Fashion Design
As a closing remark, the “Threads
of Heritage” project offers valuable
insights into the importance of
integrating cultural sensitivity in
fashion design, particularly when
employing artificial intelligence to
navigate complex cultural nuances.
While AI demonstrates impressive
creative capabilities, it is the
collaboration between human
designers and AI that ensures
the development of coherent and
culturally resonant fashion brands.
This project highlighted the
significance of continuous iteration
and thoughtful prompt crafting,
demonstrating that effective
communication between humans and
machines is essential for achieving
authentic cultural representations.
The research alsparked discussions
about AI’s visual representation of
cultural elements, emphasizing the
ethical considerations involved,
especially the risks of copying motifs
without recognizing the communities
that created them. Furthermore,
concerns about the oversexualization
of AI-generated imagery and its
impact on gender representation
underscore the need for careful
attention to ensure that both cultural
and gender portrayals are respected
rather than commoditized.
The differing abilities of language
models to capture diverse narratives
highlight the importance of
recognizing and understanding the
subtle complexities in any subject.
While AI can effectively grasp cultural
elements when prompted accurately,
coherence is not always inherent
in its outputs. Human insight is vital
for maintaining connections that
ensure coherence and cohesiveness
throughout the project.
As we navigate the evolving
landscape of AI and its implications
across industries, including fashion,
it is crucial to underscore the
collaboration between human
creativity and machine intelligence to
ensure integrity and inclusivity.
The narratives conveyed through our
designs must authentically represent
the cultures we seek to honor, paving
the way for a future where technology
and tradition can coexist in harmony.
*The texts have been grammar checked and proofread with the assistance of AI to ensure clarity and accuracy.

*This image is AI-generated

Project Name: Using AI to explore new forms of functional design
Author: Mira Benzion
Tools and platforms used: ChatGpt4o, RunwayML, Meshy
Summary of the project and process:
This project explores how AI can be
used to transform everyday objects,
like a chair, into new forms while still
keeping their core functionality. By
focusing on comfort and support
without relying on traditional design
elements, I aimed to push the
boundaries of what AI could create.
Through iterative prompts, I refined how
I described the object to move away
from conventional chair designs. By
focusing on weight distribution and user
needs, I tested AI’s ability to reimagine
functional objects in innovative ways,
exploring new possibilities beyond
traditional constraints.

Research
For this project, I used ChatGPT4o
to explore how AI can help
redesign everyday objects while
keeping their functionality intact.
The research focused on how
design principles can be applied
to challenge traditional constraints,
drawing insights from resources
like The Design of Everyday Things
and Universal Principles of Design,
which emphasized the balance
of aesthetics, usability, and
functionality.
I chose to focus on chairs because
they are common, versatile, and
have room for improvement.
Chairs are used in various settings
like homes and offices, making
them impactful design subjects.
My goal was to reimagine the
chair’s design using AI to create
new forms while still providing
a stable and comfortable seat,
aiming to find innovative ways to
enhance everyday life.

Defining a Chair
To start the creation process,
learning AI’s understanding of a
chair was crucial. After asking
ChatGPT to define a chair in
as much detail as possible, its
answer consisted of this:
“A chair is a piece of furniture
designed to provide seating for
one person, typically consisting
of a seat, backrest, legs, and
sometimes armrests. The seat is
usually flat or slightly contoured
to fit the human body, with its size
varying to accommodate different
body types. It can be made from
various materials such as wood,
metal, plastic, or upholstered
with fabric or leather. The seat
height is generally standardized
to match the height of tables or
desks for optimal use.
The backrest of a chair provides
support for the user’s back,
promoting comfort and proper
posture. It can range in height
from supporting just the lower
back to providing full support
for the upper back and head.
Backrests are often made from
the same material as the seat but
may feature additional padding
or ergonomic design elements
for enhanced comfort. Chairs
typically have four legs, though
some designs incorporate a
central column or fewer legs for
functional or aesthetic reasons.
These legs are often made from
the same material as the rest of the
chair and may include features like
height adjustments or casters for
mobility.
Additional features of a chair
include armrests, which can be
fixed or adjustable, offering extra
support for the arms. Some chairs
are designed for specific uses, with
adjustable components like seat
height, backrest tilt, and armrest
height to suit different users. Chairs
can also be foldable or stackable
for easy storage. They come
in a range of styles, from basic
functional designs to more artistic,
decorative pieces. The durability
of a chair depends on its materials
and construction, and ergonomic
considerations like back support,
seat angle, and height play a key
role in creating a comfortable and
user-friendly design.”
AI generated traditional chair

Process
Going through insights learned
from the books mentioned
within the research stage, when
guiding AI through the process of
reimagining a chair, ergonomics,
and usability were prioritized,
ensuring the chair could meet the
diverse needs of users. In this
process, I focused on achieving
a balance between innovative
aesthetics and functionality,
evaluating each design created
with said criteria.
Aesthetics played a key role in
creating a visually appealing
object that users would enjoy,
while usability focused on
ensuring that the chair was
intuitive and comfortable.
Functionality remained at the
core, with features like ergonomic
support and adjustability being
integrated to meet diverse user
needs.
In the pursuit of breaking away
from conventional designs, I
began with an approach that
revolved around defining the
core human need: supporting a
seated individual with comfort
and proper posture. Using AI to
generate a new form of functional
design, I went through multiple
iterations to refine the prompt and
the resulting image outputs.
The first iteration of my prompt
emerged from AI’s answer to the
question: how would you describe
a chair without mentioning it as
a chair and without considering
its physical properties, to which it
answered.
“The object is designed to support a
single individual in a seated position,
enhancing comfort and promoting
proper posture for extended
periods. It often includes features
to accommodate the contours of
the human body, ensuring comfort
through various adjustments tailored
to individual needs.” (Prompt #1)
Prompt #1 was first used as my
trial run for MESHY, a tool that
uses artificial intelligence to create
3D models from text prompts or
images, making it accessible to
users of all skill levels. The prompt
was entered twice, with small
paraphrasing alterations, and the
results were the same: regular,
existing, comfortable office chairs
with wheels. Concluding attempts
on MESHY for now as failures.
Prompt 1_Failure 1_MESHY

I then simplified Prompt #1 with the
help of ChatGPT for AI to maybe
understand it more effectively and
bring me closer to the results I
expected, bringing me to Prompt #2.
“An object designed to comfortably
support one person sitting down,
helping maintain good posture over
long periods. It adjusts to fit different
body shapes for added comfort.”
(Prompt #2)
Even though I changed the generative
tool to DALL-E and optimized the
prompt, the results somehow ended
up being the same: regular, existing,
comfortable office chairs with wheels.
The outcome repetition through
different generative AIs made me
realize there would be a problem with
the course of my research. Generative
AI is trained on existing data, so it
learns from patterns and examples
that already exist. When you give it
a prompt including “comfort” and
“chair,” it draws from what it knows
about comfortable chairs, such as
office chairs, because that’s what
it has seen the most. It combines
these ideas based on patterns
in the data, which is why it might
create something familiar rather than
inventing a totally new concept.
Essentially, the AI generates outputs
based on what it knows, which
means it’s limited to reworking or
remixing existing ideas.
Prompt 1_Failure 2 _MESHY
Prompt 2_Failure 1_DALLE
Prompt 2_Failure 2 _DALL-E

The solution I came up with
to solve this problem was to
create and configure my own
GPT. ChatGPT4o has a feature
where you can easily program
a GPT, giving it instructions
and guidelines to follow when
generating responses.
These are the instructions I
programmed my GPT with:
Description: Can ideate new
objects based on human needs
but knows nothing about
existing ones.
Instructions: This GPT focuses
entirely on human needs,
behaviors, and experiences. It
has no knowledge of existing
objects, such as chairs, tables,
pens, bottles, or any other
inanimate things, nor does
it recognize their properties,
functions, or appearance.
However, it can ideate and
create new, fictional objects
based on human needs and
emotions. These new objects
will be described solely in
relation to how they could
improve human life, but it
remains unaware of any
currently existing objects or
their uses.
Giving my GPT a clean slate
made it possible to generate
designs with more innovative and
different outcomes.
I then entered Prompt #2
again into this new GPT, and
the outcome was surely an
improvement. It still had similar
properties to traditional chairs,
but the turn it took made it look
like a direction worth exploring.
Prompt 2_My GPT

Looking at the image provided
with this prompt, I realized that
maybe avoiding the mention
of a chair wasn’t enough. The
word “sitting” was still part of
the prompt, which might be
why the results were close to
existing chairs. So, I asked
ChatGPT4o to define “sitting”:
“the act of resting in a position
where the weight of the body
is supported by the buttocks
rather than the feet, and the
back is typically upright.”
Now incorporating this into the
existing prompt:
“An object designed to
comfortably support one person
resting in a position where the
weight of the body is supported
by the buttocks rather than the
feet, and the back is upright.”
(Prompt #3)
The results of introducing
Prompt #3 to the GPT I created
included a slightly more exotic,
futuristic type of chair, which still
resembled a little the form of
traditional chairs, but was more
advanced in deviating from
traditional designs.
Prompt 3_My GPT
Prompt 3_My GPT
As I progressed through the
generated designs, I kept
twitching the prompt to get more
innovative results. I removed the
constraint of an “upright back”
and, with this, AI was able to
achieve more open-minded
designs, deviating from what
we know as functional, and
truly reimagining the necessary
features for a chair to work.

These were the designs my GPT generated when going down this path:
Prompt 3_My GPT
Prompt 3_My GPT
Prompt 3_My GPT

As I saw progress with the
configured GPT, I paused to
explore other tools to see how
they would handle the prompts.
I tried RunwayML as a textto-image
generator to test the
effect of the GPT’s constraints
on the image outcomes. I
repeated Prompt #3, which
mentioned “the weight of
the body is supported by the
buttocks rather than the feet,”
and got some strange-looking
results that took this description
very literally.
To improve the outcomes, I
adjusted the prompt to “Object
designed to comfortably
support one person resting in
a position” (Prompt #4). While
the results were better, many of
the generated images featured
objects where people were lying
down fully, diverging from my
goal of creating objects similar
to chairs. One even resembled
a bathtub.
I then decided to go back to my
GPT, since it gave me results
that were more in the direction
I wanted the project to go and
could be pushed more since it
had built-in constraints. Back
in my GPT, I tried the prompt
generated for RunwayML
(Prompt #4), which had
interesting outcomes.
Prompt 3_RunwayML
Prompt 4_RunwayML
Prompt 4_My GPT

More designs that were generated by my GPT while variating with
different prompts between the ones mentioned before included results
with functional and innovative features.

Idea Ranking
I used ChatGPT to help create
a chart ranking the top 20
chair designs generated during
my project. The goal was to
evaluate each design based on
two key criteria: functionality
(how practical the design is for
sitting) and design innovation
(how much the design deviates
from traditional chair forms).
I used ChatGPT to score each
design based on functionality
(how practical it is) and design
innovation (how unique it is
compared to traditional chairs).
It then helped plot these scores
on a matrix, with functionality
on the Y-axis and design
innovation on the X-axis. This
visual map made it easy to
see which designs balanced
creativity with practicality.

Result
This chair design deviates
from traditional forms by
featuring fluid, continuous
curves instead of separate
legs, backrests, or armrests,
creating a sculptural look.
Despite its unconventional
shape, it still provides comfort
and ergonomic support, with
its curves aligning with the
body’s natural contours to offer
back and lumbar support while
allowing for various relaxed
seating positions.
Conclusion
This project showed how AI can push the boundaries of everyday design
by transforming familiar objects like chairs into new forms. I used iterative
prompts and custom configurations to guide AI away from traditional
patterns, focusing on comfort and support while encouraging more
innovative results. Experimenting with different tools revealed the limits of
AI’s reliance on existing data, often defaulting to familiar designs.
By configuring a GPT to ignore known objects and emphasize human
needs, I achieved more original outcomes. This approach highlighted AI’s
potential as a tool for creative design, capable of reimagining functionality
beyond conventional forms.

AI, who am I?
Project name:
Exploring the role of AI in redefining human physical identity on a
digital realm.
Author:
Simón Sánchez Navarro
Tools and platforms used:
ChatGPT, Dall - E, Gab AI, Supawork AI, Midjourney
Summary of the project and process:
Authentic online
portrayal of individuality is
already hard enough in between
the algorithms that make up
cyberspaces. Thus, the rise
of artificial intelligence could
potentially come as an even
bigger challenge when trying
to represent identities in digital
environments, for the way in
which it processes data is not
necessarily indicative of the
complexities that make up
humans.
‘AI, who am I?’ comes as a
way of opening up conversations
about the authenticity of digital
human identities, and specifically
about how proficient artificial
intelligence is at translating real
life characteristics into archives
of information.
With identity being
at the core of all types of
design, this project aims to
question the agency that AI
should be given in design
methodologies considering its
ability (or lack there of) of deeply
understanding this concept. It
aims to acknowledge the real
people that are behind virtual
and physical realities, and remind
designers of the importance of
having full awareness of who it is
they are designing for.

AI,
ChatGPT
Dall - E
Gab Ai
Supawork Ai
Midjourney
who am I?
SS17003
Simón
Sánchez Navarro
21
February 17, 2003
Medellín
Colombia
ever dream (of being) this man?

Personal
picture,
for
reference.
Fifty versions of Simón only barely begin to visualize how
identity can be transformed with Artificial Intelligence.

In the words of AI,
“Identity is the collection of
characteristics, beliefs, qualities,
and experiences that define who
a person is” (OpenAI, 2024).
Opposingly, in the eyes of AI,
identity appears to be not much
more than a sum of data points
associated with individuals.
Amid the exponential
growth of social media and
digitalization, virtual interactions
have become definitive in
shaping reality. Thus, the digital
renaissance propelled by AI
comes with a drastic impact in
the ways people see and present
themselves. The information that
AI systems supply is completely
based on the information
that it has access to, and
therefore, artificial intelligence
is exceptional at reinforcing
stereotypes and shaping self
perceptions. The algorithms
used by large language models
are constantly regarding users
as data sets, while feeding
them information that is not
necessarily representative of
themselves. This raises concern
when considering that human
complexity is being narrowed
down to data. Hence, when
collaborating with AI designers
must ask themselves:
How deeply do these
technologies understand the
audience I am designing for?
AI, what is identity anyways?
In order to understand
how AI can interpret and
influence human identity, I
altered myself through artificial
intelligence to see how it would
visualise different versions of
myself.
First, I needed to
comprehend the main factors
that AI considers when
determining identity. I focused
on physical traits specifically
with the intention of making the
results visually straightforward
and indicative of the ways in
which the algorithms work.
Although all aspects of
identity are affected by digital
environments, physical ones
are easier to measure and
adjust by AI, and are therefore
representative of how hard it
is for AI to represent human
complexity, even in its most
perceptible features.
I asked both ChatGPT
and GabAi about the main
physical characteristics
that make up identity. Both
responses included elements
like facial features, hair, and
body type, but GabAi also
mentioned race, ethnicity and
gender. Then, I used both lists
to guide two prompts for Dall-E
to describe a picture of me
emphasising on the specific

aspects determined by the AIs.
The outputs then went
into Midjourney as prompts to
create new versions of myself
based on my descriptions.
Some results were the following:
Some notable ways AI
described me were:
Mediterranean or Latin
American background. Medium
skin tone and dark hair. Male,
based on visible facial hair
growth and prominent, thick
eyebrows.
Appears to be male.
Ethnic background is not easily
distinguishable, but may have
Mediterranean, Middle Eastern,
or South Asian features. Appears
to be of average to above
average height. Lean body
frame with no visible excess
weight. Slender and fit build. The
individual has a small ear piercing
on the left ear, adding a subtle
but distinctive feature.
From the results, a few
look fairly similar to me, others
have very little resemblance, and
some even missed my gender.

“An Egyptian man
with an expression
that conveys
confidence”
What do I look like, really?
Similarly to Dall-E
before, I asked Midjourney to
describe two images of myself.
This time I did not specify the
characteristics I was looking
for, hoping to give it more
freedom to outline my frame and
understand which traits it would
highlight without any biases in
the prompt.
The results were even
more interesting. Midjourney
described me as:
an androgynous person
with black hair, light brown skin;
Having a small nose ring (which I
do not have); an average-looking
male model; an Egyptian man
with an expression that conveys
confidence; and an attractive
Middle Eastern man in his early
to mid-20s.
It is worth noting that I
am fully latino, born and raised in
Colombia.
When asked to imagine
the descriptions it came up with,
the results were as follows:

The results were
even further away from my
real appearance. No image
generated appears to fit my
gender or ethnicity, and many of
the traits AI described as central
to identity were not captured
at all. Even in prompts that had
no mention of race or ethnic
specifications, many of the
results seemed to be asian.
According to AI, my
physical appearance appears
to be something that does not
represent me at all, and could
push assumptions that could
become quite problematic.
It completely misunderstood
its descriptions of myself and
proved to be not very efficient
in both describing people and
representing them. Instead,
it once again exhibited its
reinforcement of stereotypes
and proved its inability to depict
human traits.
“As AI becomes better
at mimicking human
intelligence, it blurs the
line between what is
distinctly human and
what can be automated”
- Open AI, 2024

Make me even more myself.
Besides physical
features, I asked Gab AI
about the main components
of human identity, to which it
listed ethnicity, gender, age and
profession. Understanding my
own identity according to the
stated guidelines, I decided to
modify my image to be more
representative of each identifier.
I gave Midjourney
images of myself and, in four
different prompts, asked the
AI to make them look either
more Colombian, more male,
more like a 21 year old and
more like a student. The goal
was to see which of the ‘main
identifiers’ represented me most,
yet the results only reinforced
stereotypes and did not succeed
in representing my identity:
Colombian
Male
21 year old
Student
Do I fit the profile?
In the context of a
virtual realm, as explained by
AI, the way in which we present
ourselves in social media is
meaningful in defining who
we are. I asked Midjourney to
make passport style photos
based on my profile pictures for
platforms such as instagram,
whatsapp, and linkedin.
Specifying on the
prompt to “maintain the identity
of the person in the image”, I
reflected on how much of my
virtual persona AI is able to
capture based on my social
media presence. Again, the
results looked nothing like me
and actually lost a lot of my
essence while maintaining more
irrelevant features like clothing
and lighting:
LinkedIn
Instagram (1)
Instagram (2)
Whatsapp

My professional identity.
Looking more deeply
into the presentation of self
in LinkedIn specifically, new
inquiries came to mind about
how identity is represented in
a virtual realm that is meant for
a professional context. Many
new AIs are now marketed
specifically for LinkedIn users,
assuming AI has the capability
to generate profiles that
successfully portrait people.
Using SupaworkAI,
designed for LinkedIn, I
examined its process in
producing the pictures. The very
first step asked for the user’s
gender, followed by their age,
hair colour, whether they wear
glasses or not, if they have a
beard and finally their ethnicity.
All the available response
options were limited to an
often biased or incoherent list
provided by Supawork AI, like
the gender choices which were
“male”, “female” and “kid”. The
website also let the user choose
an image style, varying from
categories like “professional”,
“stylish”, “casual” and “street”.
Finally, the AI asked for
reference photos, minimum one
and a maximum of four. Inputting
all the information asked, I got
the following results:
The results are indeed
worthy of LinkedIn in the sense
that they seem professional,
but considering they are images
meant to depict me and to be
seen by employers, they appear
far from apt of representing me.
Hence, the AI partially delivers
its promise of generating a
profile picture, but I would not
consider it accurate enough to
stand in for user’s identities.
My ultimate self.
After understanding how
hard it is for AI to mimic my
appearance, I finally decided to
move away from its assumptions
of who I am, and gave it more
context to construct my identity
using only images of myself.
I input pictures I had taken
throughout the week into
Midjourney and asked it to blend
some of them together.

Here, I
was hoping that
since it was only
using recent
images of me, the
result would be
quite similar to
my actual physical appearance,
expecting AI would be able to
imitate my identity as I gave it
more concrete references to
work with. The results, as seen
on the top right corner, did in
fact look much more similar
to me. The blending of images
successfully captured some
of the features that make up
physical identity (as defined by
ChatGPT and GabAI previously).
The images also seemed less
AI generated and were quite
representative of many of my
main attributes.
Nonetheless, the uncanny
valley effect produced by the
images speaks for itself. No
matter how similar they are to
my actual pictures, the person
depicted by the AI generated
image is clearly not me.
According to AI’s understanding
of identity, specifically physical
identity in the context of a
virtual realm, the
person Midjourney
produced could
essentially match
my own identity.
Still, in my own
personal sense
of self and perception of who I
am, it is quite clear to me that
no matter how close the AI
managed to get, I am still none
of those people portrayed in the
images. They partially give off
an idea of who I am but are not
enough to be representative of
my complete self.

What does this mean for
designers?
In the field of design,
‘human centred’ takes on new
meanings as human identity
becomes more intertwined with
technological development.
Inaccurate comprehension
of users represents a big
threat for designers, and as AI
becomes more incorporated
in design processes, it is
important to acknowledge its
inability in properly grasping
and representing the human
experience. As proved by
AI’s incapability of recreating
physical features, the complexity
of humans is not something
that easily translates into just
data sets, and can therefore not
be fully recreated by artificial
intelligence.
Despite the multiple
advantages that collaboration
with AI has to offer during
design processes, designers
must be wary of the inevitable
detachment that AI has from
human beings, and the fact that
even with access to so much
information, it still does not have
enough proper notion of identity
to fully understand humans as
users.
With the help of AI,
people have access to a
plethora of ways of expressing
themselves, but as the world
becomes more digitised and
AI more involved in all sectors,
designers must keep in mind
who it is they are designing for,
and the real human complexities
that exist behind what AI might
consider as someone’s identity.
Works Cited
unidentified
Laurin, K. (16, 10, 2023). The perils of AI:
How artificial intelligence constructs human
identity to their detriment. Medium. https://
kemlaurin.medium.com/the-perils-of-ai-howartificial-intelligence-constructs-humanidentity-to-their-detriment-7017403d0366
Yalzin, Gizem. (2023, September). How AI
affects our sense of self. Harvard Business
Review. https://hbr.org/2023/09/how-aiaffects-our-sense-of-self
*All images have been generated with
Midjourney, Chat GPT, Dall-E, Gab Ai, &
Supawork Ai.

“Forks, Spoons, and Funky Designs: A Utensil Adventure!”
Project name: “Reimagining Kitchen Utensils: A Creative Exploration of
Design and Abstraction”
Author: Stefanie Laredo
Tools and platforms used: Midjourney, ChatGPT
Summary of the project and process:
We use kitchen utensils every
day without giving them much
thought—a fork, a spoon, a
knife—simple tools that seem to
be set in their ways. But what if
we rethink them? What happens
when we challenge the familiar
and explore the possibilities of
design beyond functionality? In
this project, I dive into the creative
process of redesigning these
everyday objects, questioning
what defines them and how they
can evolve. Through AI-powered
image generation and a dash of
unpredictability, I explore quirky,
abstract, and sometimes bizarre
iterations of kitchen utensils,
uncovering new ideas and pushing
the boundaries of form and
function.
To begin this exploration, I
first needed to clarify my own
understanding of what defines a
kitchen utensil—specifically, the
characteristics of a spoon, fork,
and knife. My initial approach
was to consult ChatGPT for clear
definitions and examples.
Kitchen utensil:
A kitchen utensil is a tool used
in food preparation or cooking.
These utensils are designed to
perform specific tasks, such as
chopping, stirring, flipping, or
serving food. Common examples
include spoons, knives, spatulas,
tongs, whisks, and measuring
cups. They help make cooking
processes more efficient and are
typically made from materials like
metal, plastic, wood, or silicone.
Spoon:
A spoon is a kitchen utensil with a
shallow, rounded bowl at the end
of a handle. It is used primarily
for scooping, stirring, and serving
food or liquids. Spoons come
in various sizes and types, each
designed for specific purposes.
Common types include:

- Teaspoon: A small spoon used
for stirring tea or coffee, or for
measuring ingredients.
- Tablespoon: A larger spoon often
used for serving or measuring.
- Soup spoon: A rounder, larger
spoon designed for eating soup.
- Dessert spoon: A medium-sized
spoon used for eating desserts.
Spoons are typically made from
materials such as metal, plastic, or
wood.
Knife:
A knife is a kitchen utensil with a
sharp blade and a handle, used for
cutting, slicing, dicing, chopping,
and other food preparation tasks.
Knives come in various shapes and
sizes, each designed for specific
purposes. Common types of kitchen
knives include:
- Chef’s knife: A versatile, allpurpose
knife with a broad, sharp
blade used for chopping, slicing,
and dicing.
- Paring knife: A small, sharp
knife used for precise tasks such
as peeling and trimming fruits and
vegetables.
- Serrated knife: A knife with a
saw-like edge, ideal for slicing
through foods with tough exteriors
and soft interiors, like bread or
tomatoes.
- Boning knife: A thin, flexible
knife used to separate meat from
bones.
Knives are typically made
from stainless steel, carbon
steel, ceramic, or other durable
materials, and the blade’s
sharpness and design are crucial
for efficiency in the kitchen.
Fork:
A fork is a kitchen utensil with
a handle and several long, thin
tines (prongs) at one end. It
is primarily used for picking
up, holding, and eating food.
Forks are essential in both food
preparation and dining. Common
types include:
- Dinner fork: Used at the dining
Image generated by ChatGPT
“kitchen utensils”

table for eating main courses.
- Salad fork: Typically smaller and
used for eating salads or lighter
dishes.
- Dessert fork: A smaller fork used
for eating desserts.
- Serving fork: A larger fork used to
serve food from a platter or dish.
- Carving fork: A long, two-tined
fork used to hold meat in place
while slicing.
Forks are usually made from metal
(stainless steel, silver, etc.) but can
also be found in plastic or other
materials. They are often paired
with knives or spoons during meals.
With the definitions in place, the
next step was to dive into exploring
new iterations of these kitchen
utensils using MidJourney. We
first needed to understand how the
AI interpreted basic concepts
like spoons, forks, and knives
before crafting more detailed
prompts. To my surprise, the
image generation took a strange
turn right from the start. This
might have happened since I
chose to explore the MidJourney
website, experimenting with
its features, including levels of
“weirdness” and variety to push
the boundaries of design.
It was fascinating to analyze how
the AI perceived kitchen utensils.
It produced variations of spoons
and other similar objects, often
made from either wood or metal.
However, the metal utensils
consistently appeared rusty,
giving them an aged, dirty look
that felt unappealing. The AI also
generated some misfires, where

utensils were bizarrely fused into
wooden boards, lacked handles,
or seemed to resemble abstract
objects that didn’t exist or serve any
practical purpose.
Despite ChatGPT’s clear and
detailed definitions, I assumed
a simple prompt would lead to
straightforward results. I was
curious to explore with some
vagueness, supported by the
“aesthetic” settings of MidJourney,
knowing that more detailed prompts
would yield better outcomes.
As I processed images of spoons,
forks, and knives, interesting
patterns began to emerge. For
instance, when I asked for a knife,
it initially produced decorative
knives that looked more suited for
self-defense than food preparation.
After specifying “kitchen knife,”
I received images of large knives
for cutting vegetables, though
some still carried over decorative
elements from the earlier
requests.
When I moved on to spoons,
the AI seemed to consistently
reference antique, rusted spoons
with decorative handles—the
kind some people might still
collect today. These spoons
varied in color and artistic
patterns, but they were always
metal, evoking a sense of age and
history.
Forks, on the other hand,
took a much stranger and
somewhat unsettling turn. The
AI generated forks with wildly
exaggerated prongs—some

had three long, sharp tines
that looked almost dangerous,
while others had five, trying
to resemble a regular fork but
coming across as offbeat. Like
the spoons, these forks were
mostly made of rusted metal,
but they occasionally featured
intricate patterns or odd, almost
sculptural assemblies.
I embraced the quirkiness as
an opportunity to experiment
with new variations, drawing
inspiration from specific
images. One design began with
a simple spiral handle on a fork,
and when I tried to morph it
into a spoon, the pattern grew
upwards in an unexpected way.
I experimented with upscaling
and tweaking the variations
to see how the AI would
complete the design, particularly
focusing on the fork’s head.
Initially, it resembled a poorly
photoshopped fire portal in
the handle, but through further
remixing and variations, it
transformed into something
much more elaborate—a
fork adorned with jewels and
intricate patterns, more akin to
a piece of ornamental jewelry
than a functional utensil.

While technically still usable,
these creations blurred the
line between functionality and
art. They felt like objects to
be admired rather than used,
pushing the boundaries of
design while still maintaining
a faint connection to their
original purpose. This evolution
showcased how imaginative
and surreal the process could
become, offering a fascinating
look into how far the form
of everyday objects can be
reimagined.
This more artistic approach to
usable utensils inspired me to
explore similar outcomes with
both a spoon and a knife. I
crafted prompts that highlighted
these characteristics, such as
“metal spoon with a twisted
handle and a piece of jewelry
in the middle of the handle”
and “a metal knife with patterns
on the blade, adorned with
jewelry and featuring a textured,
pink handle.” The results were
intriguing and aligned well with
our previous fork inspiration.
While the spoon designs were
visually striking, I felt they
might not be as comfortable or
practical as a standard spoon

for everyday use. However, the knife truly impressed me. It took on a
modern aesthetic, incorporating gentle curves that seemed designed for
efficiency. Beyond the added embellishments, this knife maintained its
functionality while presenting a strikingly artistic appearance. Its design
beautifully balanced form and practicality, showcasing how creativity
can enhance even the most utilitarian objects.
In reimagining kitchen utensils, we uncover a wealth of creative
possibilities that challenge our conventional perceptions of everyday
objects. Through the lens of AI-generated imagery, we’ve explored not
just the forms of spoons, forks, and knives but also the very essence of

their purpose and function.
The journey revealed that even
the most familiar tools can
take on surprising and artistic
dimensions, from the ornate and
jeweled forks to the intricately
patterned knives.
This exploration has prompted
us to question what defines a
kitchen utensil. Are they merely
functional tools, or can they
also be vessels of creativity and
expression? As we experiment
with design, we push beyond
traditional boundaries, inviting
new interpretations that blend
art and utility.
Ultimately, this project
highlights the importance
of curiosity and innovation
in design. By embracing the
unexpected and venturing into
the bizarre, we can transform
mundane objects into works
of art, enriching our everyday
experiences. This journey serves
as a reminder that creativity
knows no limits—kitchen
utensils may never look the
same again, and perhaps that’s
the most delicious outcome of
all.

Luxury Rebranding a
Fashion Brand
Digital Couture: Elevating Mariado Guillen
with AI and Balenciaga’s Influence
Inmaculada Sanchez Canovas
Chat GPT4, Dall-e, Midjourney
In the age of AI-powered design
tools, the role of creativity is
evolving rapidly. When I was
tasked with rebranding the online
fashion brand “Mariado Guillen”
(@mariadoloresguillen), I saw
an opportunity to explore the
intersection of AI and luxury fashion.
My goal was to elevate Mariado
fashion brand by taking inspiration
from one of the most iconic names in
fashion: Balenciaga.
Through the creative approach of AI
integration, I focused on the brand’s
identity, including logo design,
cohesive visual imagery, color
palette, and social media presence.
Using AI tools like DALL-E and
MidJourney, I aimed to incorporate
Balenciaga’s recognizable
characteristics while preserving the
unique identity of Mariado Guillen.
The rebranding journey illustrates
how AI can be a powerful tool in the
design process—allowing creativity
to expand while pushing new
boundaries.

The foundation of this project was based on the prompt:
“
I need to rebrand a
business with the help of AI.
By analysing and studying a
famous and luxury brand such
as Balenciaga in order to use
its recognisable characteristics
to implement them in the new
rebranding. The small fashion
brand that I need to rebrand
is called “Mariado Guillen”
(@mariadoloresguillen on
instagram), it is an online brand
so I only need to focus on the
brand identity. Take inspiration
from Balenciaga to rebrand this
small fashion brand in order to
make it a luxury one. Please give
me prompts to ask AI in order
to achieve this. I am going to
give these prompts to Dall-e and
Midjourney..
“
Balenciaga’s key design elements—oversized silhouettes, minimalistic
aesthetics, and bold yet simple typography—provided a rich starting point for
the rebranding. The challenge was to reimagine these elements in a way that
aligned with Mariado Guillen’s more boutique and online-focused identity
while transforming it into a brand that exudes luxury.

Logo
A brand’s logo is its most identifiable
visual asset, so this was the first
focus of my rebranding effort. I
used DALL-E and MidJourney to
experiment with various iterations
of a new logo. Balenciaga’s bold,
geometric fonts inspired me to develop
a minimalist yet powerful logo for
Mariado Guillen.
““Design
a luxury fashion logo
for ‘Mariado Guillen,’ using
clean, minimalist typography
inspired by high-end brands like
Balenciaga. The logo should have
a bold, modern, sans-serif font
that conveys both exclusivity
and avant-garde aesthetics.
Include subtle design elements
that symbolize innovation and
sophistication. Avoid ornate
details—focus on simplicity and
sharpness.”
“
After obtaining bad results from Chat
GPT4 and Midjourney. I directly
asked for a typography that reflect
minimalism, boldness, and modernity;
giving me different font families. And
based on that I used Illustrator AI to
play with vectors in order to create a
cohesive logo.

Color Palette
To create a cohesive brand identity, I
focused on developing a color palette
that would complement the luxurious
aesthetic of Mariado Guillen.
“
Drawing inspiration from
Balenciaga’s create a color
palette of five colors for a visual
identity inspired in Balenciaga
aesthetics, make these neutral
such as black, white and beige
and give me the hex code of each
color.
“
AI-assisted color testing allowed me
to fine-tune the shades and visualize
how they would appear across various
branding materials, from Instagram
posts to the website design. The
resulting palette was versatile enough
to apply across different visual assets
while maintaining consistency.
Black
Hex Code: #000000
White
Hex Code: #FFFFFF
Sandy Beige
Hex Code: #D1B894
Warm Taupe
Hex Code: #A68A6D
Soft Ivory
Hex Code: #F5EFE6

“
Design a fashion
editorial shoot for @
Mariadoloresguillen
inspired by
Balenciaga’s
futuristic aesthetic,
combining
streetwear
elements with
high-fashion poses.
Use muted colors,
architectural
backdrops, and
edgy lighting.
“
Visual Imagery
I used AI-generated imagery to create
a cohesive and luxurious Instagram
feed for Mariado Guillen. I focused on
balancing model shots with accessory
close-ups and product imagery, all
following the newly established color
palette.
Through various iterations, the AI
helped me create a modern Instagram
grid that alternated between models,
accessories, and editorial shots. Each
post reflected the brand’s upscale
identity and gave followers an
immediate sense of its refined nature.
AI also played a role in adjusting and
perfecting the compositions, ensuring a
consistent look across the grid.
*** These are some of the images that Midjourney and Dall-e created for me.
However not the approach I was looking for. Added text, not realistic faces, very
overwhelming..

*** This is the aesthetic I was looking for. However, AI would only give me black
people without asking or mentioning anything about the model’s race. After a few
trials, I asked for multiracial models and more specific white race and light skin. It
kept only including black models.

Instagram Profile
“
Create a series of Instagram posts for the fashion brand ‘Mariado
Guillen,’ inspired by Balenciaga’s minimalist style. Use black,
white, and beige tones to highlight oversized silhouettes,
streetwear, and luxury aesthetics. Base these posts in the visual
imagery and logo done before. Same aesthetics make it look
sleek, fresh, modern and cohesive in order to obtain a good and
strong visual identity.
When creating a new
Instagram profile to make
the brand look more reliable
and professional, it started
designing posts of only
clothes on its own or just
models... I asked to make
the designs more sharp and
updated to todays fashion
with Balenciaga aesthetics.
The first results were very
organic because of the
neutral colors I was putting
in the prompt.
Finally, I worked with
Photoshop AI and
Midjourney. These gave me
more images and Chat GPT4
analysed them and told me
where to put logos to make
it more coherent. Also, it
created products with the
logo engraved.
“

Website Design
The website’s main page is crucial
for creating a strong first impression,
especially for an online brand like
Mariado Guillen. My goal was to
make the website sleek, luxurious, and
user-friendly. I used AI tools to design
a homepage that featured oversized
visuals, minimalist typography, and
high-quality editorial images of the
brand’s clothing and accessories.
“
Design a luxury fashion website
homepage for Mariado Guillen,
focusing on a clean modern
layout. Use an oversized
image as the main focus and
bold typography inspired by
Balenciaga. Make sure you
include the logo created before
and continue with the same
aesthetics.
“
There were many fail versions of
the website. Very elegant and classy
style not following Balenciaga’s
visuals or the one just created. The AI
helped refine the layout and balance,
suggesting where to place visuals and
text for maximum impact. The result
was a homepage that not only looked
high-end but also had an intuitive flow,
leading customers seamlessly from the
first glance to shopping.

Working with AI in this process wasn’t without
its challenges. One of the major issues was AI’s
limitations in understanding subtle nuances,
particularly when generating realistic textures for
high-end fashion materials. Early iterations of AI
outputs often lacked the refinement necessary for
luxury branding.
By refining the prompts and providing more
specific inputs, I was able to guide the AI
towards better results. In some cases, traditional
design tools were needed to touch up AIgenerated
images, ensuring they met the highquality
standards required for the project.
The integration of AI in the design process
for Mariado Guillen allowed for a dynamic,
iterative approach to rebranding. By analyzing
Balenciaga’s characteristics and applying them
with AI assistance, I was able to elevate Mariado
Guillen into a luxury brand that reflects modern
elegance, sophistication, and high-fashion
sensibilities.
AI enhanced the workflow by enabling
quick iterations, helping me push creative
boundaries while ensuring the brand identity
remained cohesive and high-end. This project
demonstrates the potential of AI in rebranding
and how it can be used to complement human
creativity, rather than replace it.

“AI CAN-NOT MAKE MISTAKES”
Project name: Testing AI platforms’ capabilities for conducting text
based research
Authors: Alex Boubou
Tools and platforms used: ChatGPT 4o, Claude.ai 3.5 Sonnet, Claude.
ai 3 Opus, Grok 2 beta.
Summary of the project and process:
This project aims to explore the current capabilities of generative AI
in research processes for writing (both academic and journalistic are
tested out). The project will explore three different processes of creation
using AI, with various levels of user integration; the first is data
generated by AI and free decision-making by humans, the second
is data generated by AI and structured decision-making by humans,
while the third is data and decision-making generated by AI only. The
end result aims to analyze the processes used by AI currently to conduct
research, and to identify serious shortcomings in the outcomes.
2

STEP 0: WHAT TO EXPLORE?
“Verify its’ outputs”, “Double-check its’ responses”, and
“Check important info”, among others; phrases anyone
who’s used generative AI platforms has seen next to the
input textbox, almost like a fine-print similar to those
that are on cigarette packs, alcohol advertisments and
gambling promotional materials. Perhaps it is a way for
developers to absolve themselves from the responsibility
that may arise of one of their creations’ responses
being escalated to grounds for legal actions? It is there
accompanied with the phrase “[insert platform here]
can make mistakes”, and AI famously has and still does
so; inaccurate information, biased sources, or ones that
do not exist at all. Unfortunately, a lot of people are still
not aware of AI’s limitations when it comes to providing
correct and accurate information, and use it without
cross-checking or verification. This project aims to
see the full unchecked potential (correct or not) of AI
when it comes to research - a process that has always
required special rigor in its execution. What happens
when AI is given more freedom in journalistic research?
What happens when AI biases are left unchecked?
What happens if AI research if founded on inaccurate,
or even false data? How do AI platforms synthesize their
conclusions (if at all)? Where do different AI platforms
“source their bias” from? How do AI platforms respond
to self-criticism and scrutiny? Perhaps some of these
questions will go unanswered while others will appear.
It is important to note that this research has generated
in total over 100,000 words; it is nearly impossible to
condense everything into 12 pages, so you can make use
of the links that will appear on the right side
to reference certain processes and essays. This first link
is to the Google Drive folder containing all the documents,
which will be referenced as I go along this process.
Which look like this:
tinyurl.com/53b4u6az
3

STEP 1: WHAT WILL IT RESEARCH AND HOW?
The main topic that came to my mind was progress and reform
- nowadays a topic controversial enough that the AIs would have
enough information from both sides to (hopefully) synthesize some
good arguments. From my own perspective, it’s a topic that I found
very interesting, because of its’ complex implications across multiple
fields, of which I wanted to focus primarily on ones I have some
knowledge in - design, politics, and culture; This way, the process of
double checking AIs responses becomes somewhat easier for me
later down the line.
I also had to define an early-stage process of how I wanted the
AIs to approach the topic, and how to structure it so I can later on
analyze the process of generation and the outcomes. Initially, since I
did not know the full capabilities of AI in this regard, decided to just
stick with experimenting to see how deep or diverse can AIs go with
examples and research. Before buying the premium subscriptions, I
did a process of AI brainstorming with ChatGPT to refine a question
that the AIs need to try to answer (as seen below, taken directly
from my Miro workspace).
4
The final form of the question that I will use is:
“What impact have globalization and advancement in
communication technologies on shaping cultural trends, design
innovation, and political discouse in recent decades?”
and so it begins.

STEP 2: THE EXPERIMENT
After generating my topic question, and purchasing the
necessary subscriptions, I did the first test to generate as
many subtopics and subsequent examples as possible that
ChatGPT can use for the research process.
I asked Charles (yes, I renamed my ChatGPT to Charles.)
to generate subtopics corresponding to each of the three
areas (cultural trends, design innovation, and political
discourse), to which it generated 12 total. I asked it to
generate more and split them according to their impact,
and the number climbed to 28. Wanting to ensure that
the subtopics it picks for analysis are controversial
enough, I asked Charles to tell me which ones it deemed
controversial, and it gave me 5 criteria for controversy
(diverse interpretations, ethical dilemmas, social impact,
political sensitivity, and cultural sensitivity). I tried to
compare my own view of the subtopics that I considered
controversial, but found myself stuck trying to distinguish
granular nuance. After I got myself entangled trying to see
if I agree with Charles’s choices, I realized I needed to take
a step back and focus on generation first, and focus on
creating a proof-of-concept at this stage.
For full process:
2-10_R_CHATGPT_
SUBTOPIC-
GENERATION
tinyurl.com/7fsyf22c
To create that proof, I decided to take a singular example
out of these subtopics and focus on synthesizing an essay
out of it. I selected “African Artists on Social Media”, under
“Empowerment of Local Art and Voices”, itself under
Cultural Trends.
Platforms like Instagram have empowered African artists to
share their work globally, but this has also led to concerns about
appropriation or exploitation when elements of their art are used
without permission by Western designers.
I decided to use the 5 whys method to see how far it can
take its own reasoning behind the controversy. I think this
may be key to unlocking biases. It did the process well,
more than doubling the amount of text analysis by the last
iteration, and producing some useful insight.
5

And it did it pretty well. The only prompt used between these was “why?”
When I started asking it for
sources and examples of
media articles talking about
the topics, things started
going south. It first generated
unclickable hyperlinks,
followed by a series of
paywalled Financial Times
articles that it refused me to
give me the links to, followed
by clickable links that turned
out to be non-existent articles.
Back at square one.
Fortunately, I figured it was a question of what type of source am I
requesting from it; I changed it to academic and high quality sources
and was able to find better quality sources (that actually exist). I
noticed that most articles Charles provided were from SpringerLink.
Finally, I managed to synthesize an essay out of the argument and
research titled “Navigating the Global Art Market: The Rise and
Challenges of African Artists on Social Media”.
My next step would be to codify the research process after the test
(which was actually successful!) and add some elements that I may
have missed earlier.
6

STEP 3: THE STANDARDIZED PROCESS
The process I defined for use by the AI platforms was:
1. define relevant subtopics to explore (negative and
positive) within each of the three fields
2. define criteria for selecting controversial subtopics
3. select 1 or 2 subtopics for each field considered
controversial according to the criteria, explaining
which criteria each subtopic fits and how many
4. on each subtopic, provide a list of relevant academic/
high-quality sources that discuss its implications
5. identify any examples about the subtopics mentioned
6. find media articles talking about the examples and
synthesize a narrative about them (separately).
7. do the 5 why’s analysis method; connect each
example with the sources about the controversial
subtopics by asking “what could be the base of the
controversy/criticism in this case?”
8. iterate 4 times “why?” and deepen the analysis
9. link the 5 layers of analysis to articles/sources
10. synthesize an essay about the whole topic that
answers the pre-defined question, about a 20 mins
read (2000 words).
Now it was time to try this on ChatGPT again, to see how
on-topic it can stay during the research process. While it
was much easier than having to decide the next step on
the fly, it sometimes presented continuity errors; several
times I had to ask it to re-do a certain step because it
forgot to analyze one of its previous answers, or because
it forgot how to count to 6. At that stage I also decided
to just stick with academic APA citations, as the citation
system employed by ChatGPT was faulty at times.
The final article, which took some iterations to figure
out how to extend its length (a recurring issue from here
on out) and make it less structured and rigid, was given
the very original title: Globalization, Communication
Technologies, and Their Impact on Culture, Design, and
Politics.
For full process:
5-10_R_CHATGPT_
ONESHOT
tinyurl.com/2h949hhz
For full essay:
2-10_E_CHATGPT_
AFRICAN-ART
tinyurl.com/2y63x4tz
For full essay:
5-10_E_CHATGPT_
ONESHOT
tinyurl.com/4ybw4vam
7

I had not worked with neither Claude nor Grok before - I knew
Claude was famous for being more restricted than ChatGPT as
it doesn’t have access to the internet, and that Grok -infamously
owned by Elon Musk’s X, formerly Twitter- is infamously capable
of generating politically incorrect content. So, I decided to put the
process to test.
Considering the process I came up with worked for ChatGPT,
I wanted to see how it can be adapted to Claude’s limitations.
One thing I liked about Claude was its transparency in how its
restrictions affect it:
I’m not able to reliably reference or cite specific articles. If I mention or
seem to cite particular articles, papers, or books, it’s important to note
that I don’t have access to a search function or database to verify these
references. In such cases, I may inadvertently generate or “hallucinate”
citations that seem plausible but may not be accurate.
But that’s exactly what I want to test out. Claude adapted the
process to use generalized examples, and general topics instead of
citations. The execution itself was rather smooth, and the end result
was more compelling than ChatGPT’s at first glance.
Grok, on the other hand... was a struggle. I do have to admit that I
do carry an inherent bias against Grok as a product of Elon Musk’s
rebranded Twitter, but I needed to give it the benefit of the doubt.
8
A challenge, no doubt. I had to stop and readjust the process
several times, and the end result was such low quality that I decided
to use Grok only for scrutinization down the line.

STEP 4: DE-STANDARDIZED PROCESS
I felt like I hit a dead end with the quality of the work; it
seemed like there was not much to discuss or analyze.
That moment I realized that by setting the process myself,
I was boxing-in the AIs capabilities; I was testing its’ ability
to follow a process, not create one. Therefore, I needed
to give the AIs the question and see how they go about
answering them. This time, I will be using ChatGPT and
Claude (this time using both 3.5 Sonnet and 3 Opus,
apparently more adept at writing long texts).
This way, I will have 3 different processes to scrutinize,
which hopefully will generate a lot of insight.
ChatGPT not only generated a very comprehensive
process, but it also conducted some very interesting
quantitative research. The quality of sources it provided
seemed to have increased a lot since the last trial.
It honestly scared me a bit; If this is the level at which
ChatGPT is already operating, research is only bound to
get better from here. However, one thing I noticed
is that it does not know how explain that quantitative
research, nor provide concrete sources, which raises
questions as to whether it is actually conducting analysis
of trends in real-time or just relying on its training data
to achieve it. It based most of its analysis on 3 theories;
Arjun Appadurai’s Global Cultural Flow, Manuel Castells’
Network Society, and Marshall McLuhan’s Global Village.
(This will be relevant later).
The essay itself took some iterations to figure out how
to work in the references, as well as length (it generated
barely half the length I asked it to, a surprisingly common
problem with AIs), but it was more coherent and had
a much stronger basis than the first two examples I
generated. I think the “academic” approach makes the
process more rigorous for the AI, so hopefully this trend
continues with Claude (Sonnet and Opus).
For full process:
5-10_R_CLAUDE_
ONESHOT
tinyurl.com/mrxn5r4c
For full process:
7-10_R_CHATGPT_
SELF-GUIDED
tinyurl.com/5bfzen23
For full essay:
5-10_E_CLAUDE_
ONESHOT
tinyurl.com/5n87h8sx
For full process:
6-10_R_GROK_
ONESHOT
tinyurl.com/sf7msuv3
For full essay:
7-10_E_CHATGPT_
SELF-GUIDED
tinyurl.com/54zfk72w
For full essay:
6-10_E_GROK_
ONESHOT
tinyurl.com/5a3jr5rd
9

The 2 Claude versions had very different approaches to this process
(for reference, the exact same prompts were used with both of
them). Claude Sonnet originally focused on giving a methodology
that I can execute myself, before attempting to adapt the process to
its internet limitation. It then gave a very detailed explanation of what
it was going to do, focusing on historical trends and comparative
analysis, and surprisingly enough, created its own theoretical
framework that it named The Global Tech-Culture Nexus, that it
used to build the model of analysis during the research stage. It also
had a much wider variety of sources and theories as a base.
The essay itself was of good quality, but the word count problem
was still persistent; this time, it inflated the wordcount in the
interface to twice as long.
10
Claude 3 Opus was touted as “excelling at writing and complex
tasks”, so I was interested in the difference between both;
Unfortunately, I was left rather disappointed. The process of
generation felt like black-box; I prompted it several times to explain
to me its research process, and the most I got out of it was about
4 pages of very brief research, as opposed to Claude 3.5 Sonnet’s
20. Obviously, amount of pages does not indicate the research’s
quality, but the research process seemed much shallower; it had
half as many references as Claude Sonnet, and based most of its
research seemingly on 5 or 6 theories, among which were Arjun
Appadurai’s Global Cultural Flow, Manuel Castells’ Network Society,
and Marshall McLuhan’s Global Village, again. The essay took a few
swings at deep analysis, but it seemed that it missed the mark for
the most part.
With this, I had gathered enough materials, time to move to scrutiny.

STEP 5: THE ANALYSIS/SCRUTINY
At this point, I had generated over 90k words in research
and essays; there is unfortuantely no way I can cover all of
that in my analysis, therefore I had to get very picky with
what to analyze. I already knew what I had to investigate;
the biases of the article, how thorough is the research,
how good it is at reaching conclusions and synthesizing
arguments, and how coherent is the essay overall (and
whether there are any tangents).
I decided to refine the criteria and make them uniform
across all tests, and it came down to the following:
1a. How correctly/accurately it discusses the topic
1b. How many tangents it goes on
2. How they agree with the argument and why
3. How coherent is the argument and shortcomings
4. How deep is the research and any shortcomings
5. How biased is the essay (even if subtle)
6. How thorough are the references and citations,
and whether the sources actually exist
7. What alternative argument would they provide
8. What alternative sources can they provide
For full process:
9-10_R_CLAUDE_
ONESHOT
tinyurl.com/39rx6py7b
For full process:
9-10_E_CLAUDE_
ONESHOT
tinyurl.com/yc735w3b
To conduct this analysis, I decided to scrutinize in 4
different ways; self-scrutiny (the AIs criticize their own
creations), cross-scrutiny (the AIs criticize each other’s
work), personal-scrutiny (I criticize the work of all AIs),
and finally, Grok-scrutiny (running the essays through
Grok and seeing the extreme criticism it could provide).
For full process:
9-10_R_CLAUDE-O_
ONESHOT
tinyurl.com/4nke4nbr
I was in particular looking forward to see Grok’s analysis -
I had experimented with generating critiques from various
ideological persepctives of an earlier creation from
Claude Sonnet, and it was able to generate more than
25 different criticisms based in certain ideologies and
movements, ranging from the extreme left (anti-capitalist
and Marxist) to extreme right (ultranationalist and ecofascist),
and even fringe ideologies (neo-luddite, technogaianist(?),
and finally radical transhumanist), so I asked it
to generate the questions for the scrutiny process.
For full process:
7-10_R_GROK_
SCRUTINY
tinyurl.com/2hf3yut9
For full essay:
9-10_E_CLAUDE-O_
ONESHOT
tinyurl.com/y6xt7w73
11

12
Top to bottom:
1. Self scrutiny
2. Cross-scrutiny
(ChatGPT analyzed
both version of
Claude, Claude
Sonnet analyzed
ChatGPT)
3. Grok scrutiny
4. Personal scrutiny
(first 6 points)

For reference, the rows represent criticism of the self-guided essays by Claude
Sonnet, Claude Opus and Chat GPT, respectively. The 8 columns correspond to
the aforementioned points of analysis (left to right). Colors represent depth of
insight (green - nothing to fix, yellow - some issues, red - major issues)
STEP 6: THE CONCLUSIONS
To try and answer some earlier and some new questions;
What happens when AI is given more freedom in journalistic
research? It has a case of tunnel vision - only searching for
sources that answer the exact question, and hardly deviating.
What happens when AI biases are left unchecked? How good
is it at diversifying its sources? It’s relying on its training data,
mostly sourced from Western, English-language perspectives,
so it will generate things that align with such views, ignoring the
diversity of sources and cases available on the internet.
How do AI platforms synthesize their conclusions (if at all)?
Some try to deep dive into specific sources, some stick to
general knowledge and not elaborate on their process.
How accurate can AI be at “verifying its’ outputs”? Not very
accurate, especially in rigorous processes like referencing,
perhaps it is due to the restrictions on what to generate.
For full process:
11-10_R_ALL_SELF-
SCRUTINY
tinyurl.com/22dpj8w8
For full process:
11-10_R_ALL_CROSS-
SCRUTINY
tinyurl.com/2r6nb7jj
How capable is AI of generating comprehensive research
plans? Very capable. It has access to tons of research and
methodologies, it can synthesize one very easily.
Is AI going to replace researchers soon? I don’t think so, it is a
very helpful tool in accessing knowledge more efficiently, but
it either has a very narrow focus, or an unlimited process of
research. It still struggles with alternative perspectives, and
until the issue of accessbility of sources is resolved (which will
inevitably happen), there is still so much that requires scrutiny
and fact-checking.
For full process:
11-10_R_ALL_GROK-
SCRUTINY
tinyurl.com/2b4dkaav
What happens if AI research if founded on inaccurate, or even
false data? It still generates the information, sometimes not
even indicating the need for revision. Perhaps it is the reason
for the “[insert platform here can make mistakes”, always
present next to the input textboxes,
13

Harmonics of the Future:
Comparative Study of AI Music Production
Project name: Music Production & Artificial Intelligence
Authors: Jean Ignace Noble & Lisa Grishina
Tools and platforms used: ChatGPT-4, Udio, Synthia, Aitubo,
Suno Ai, Soundraw
Summary of the project and process:
Artificial Intelligence is rapidly
transforming the landscape
of music production, offering
new tools for creativity and
innovation. From composing
melodies to stem separation,
AI has become an integral part
of the modern music industry.
Historically, music composition
has been a deeply human
endeavour, requiring emotional
insight, technical skill, and
artistic vision. However, with the
advent of AI, these traditional
processes are being augmented
or, in some cases, completely
automated by algorithms capable
of generating everything from
simple melodies to symphonic
masterpieces. However, how
many of these AI platforms can
be considered independent from
external music production tools?
In this project we explore the
evolution of AI in music and
examine several key AI platforms
designed to generate music
pieces. The tools that we will
be using are: Aitubo, Suno AI,
Soundraw, Udio and Synthia.
We will evaluate their features,
strengths, and limitations. The
purpose is to highlight how
these technologies differ in their
approach to composition, and to
assess how good they actually
are at making music.
As AI continues to expand its
role in music, understanding the
capabilities and nuances of these
tools is essential for musicians,
producers, and enthusiasts
alike. This comparative analysis
will provide a clearer view of
the current state of AI music
technology, its potential to
reshape music production, and
what the future might hold for
this evolving field.
2

3

METHODOLOGY
For this analysis, we evaluated
five AI music platforms—Aitubo,
Suno AI, Soundraw, Udio,
and Synthia—by attempting
to create a melodic techno
track in the style of Afterlife.
Each platform was tested
on various criteria: ease of
use, customization options,
generation speed, quality,
accuracy, supported file
formats, and pricing models.
Ease of use referred to how
intuitive and user-friendly we
found each tool. We considered
how quickly we could start
generating music and navigate
the features without prior
experience with the platform.
We timed each tool to determine
the generation speed, tracking
how long it took for each platform
to produce a piece of music after
the user’s input was submitted.
Given the genre’s complexity,
this was particularly relevant for
assessing how efficient each AI
tool was in creating layered and
atmospheric melodic techno
tracks.
Quality, although subjective,
was an important factor in
our evaluation. We rated how
well each platform’s output
matched the standards of the
melodic techno genre, evaluating
the depth of sound, melodic
coherence, and overall aesthetic
appeal. Each track was rated on
a scale from 1 to 10, where 10
indicated that we loved it and 1
indicated that we hated it.
Customization focused on
the level of control users had
over the AI-generated content,
particularly in terms of modifying
and tweaking elements like
tempo, melody, and instruments
to achieve a desired sound.
4
Accuracy was rated similarly,
based on how well the AI
interpreted our prompt and
whether the generated music
aligned with the user’s chosen
settings—such as tempo, mood,
and genre. This accuracy was
also rated on a scale from 1 to 10,
with 10 being perfectly accurate
and 1 indicating that it was not
accurarate at all.accurate at all.

Supported file formats were
another key consideration, as we
documented which formats each
tool allowed for downloading
the final track. We looked for
commonly used formats like
WAV, MP3, and MIDI, which are
essential for further editing and
integration into professional
music production workflows.
Finally, we analyzed the
pricing models offered by each
platform, comparing free trials,
subscription plans, and one-time
purchases. We assessed the
value of each pricing tier, noting
if significant features were locked
behind paywalls and whether the
free versions allowed sufficient
creative flexibility.
Throughout the testing, we
made additional observations
about platform stability, the
presence of any bugs, and unique
features like AI-driven presets or
integration with third-party tools.
These insights helped us provide
a comprehensive evaluation
of each tool’s strengths and
limitations for generating
Afterlife-style melodic techno
tracks while highlighting key
differences in their approach to
AI-driven music production.
As part of our evaluation, we
also gathered the best three
tracks produced by each
platform, along with a bonus
track from Udio that we found
amusing. These tracks are
attached at the end of the
article for reference.
5

AITUBO
Aitubo proved to be a relatively accessible
platform, although it offered the fewest free song
creations before requiring users to purchase a plan.
This limitation might be frustrating for those wanting
to experiment with multiple tracks before committing
to a subscription. However, the platform provided a
straightforward user experienceoverall.
Ease of use
Aitubo was simple and intuitive.
We encountered no issues while
navigating the platform, and the
track generation process was
clear from the outset. Even for
users with no prior experience,
the platform was easy to
handle, making it friendly for both
beginners and more
seasoned producers.
Generation Speed
Aitubo took about 5 to 6 minutes
to produce a piece of music. This
was slower compared to the
other platforms we tested, but
the slightly longer wait time
resulted in a track that aligned
reasonably well with the
given prompt.
Customisation Options
Aitubo offered two modes:
simple mode and custom mode.
In simple mode, users could
enter a text prompt and choose
between instrumental tracks or
tracks with lyrics. Custom mode
provided more options for
personalization, allowing users
to write their own lyrics or assign
a specific title in addition to the
prompt. While this offered some
flexibility— especially for lyrical
content—the level of
customization was somewhat
limited compared to other
platforms that allowed more d
etailed control over musical
elements like tempo,
arrangement, and
instrumentation.
6

Quality of the output
The track was polished and the
production value was decent,
making it satisfying overall. The
first attempt was the closest
to our intended style out of all
the platforms we used. However,
despite this, the track felt somewhat
generic—both instrumentally
and lyrically. While it was
well-produced, it lacked originality
and depth, sounding like something
we had heard many times
before rather than a fresh take on
melodic techno.
Supported formats
Aitubo allowed downloads in MP3
and MP4, which are suitable for
basic uses but may be limiting for
those who need higher-quality
formats like WAV for more advanced
production work.
Accuracy of thew Output
We rated the output a 7/10. The
platform did a good job of interpreting
the prompt, delivering
catchy lyrics and a pleasant piano
sound, with a solid bass line to
support it. The structure included
a short intro but lacked the longer,
more atmospheric outro typical
of the melodic techno genre.
Though not a perfect match for
the Afterlife style, it came closer
than most, but still leaned more
toward mainstream EDM than
true melodic techno.
Overall
We Aitubo stood out for its ease
of use and reasonably good
output quality and accuracy.
However, it fell short in terms of
customization options, which are
essential for crafting a truly
authentic melodic techno track.
7

Ease of use
SOUNDRAW
Soundraw offers unique customization options,
allowing users to select the key and BPM of their
songs, which adds a degree of control over the music
creation process. However, the platform does not
allow users to create specific prompts, resulting in a
less personalized experience. Overall, Soundraw was
the most average of the AI music platforms tested; it
embodies the definition of “okay,” providing an experience
that is neither particularly good nor bad.
Soundraw was one of the more
challenging platforms we tested,
especially in terms of ease of use.
The interface felt chaotic and unintuitive,
making it difficult to understand
the function of each element
at first. We found ourselves relying
on trial and error to navigate the
platform, which resulted in a steeper
learning curve than we expected.
Over time, we adapted, but it wasn’t
as user-friendly as other tools we
worked with.
Generation Speed
Generation speed was nearly
instant since Soundraw operates
with pre-generated music. This
was a significant advantage in
terms of time efficiency, but we
quickly realised that the platform
reuses tracks across users. We
received the exact same song in
different instances, which limited
the sense of originality and personalised
output.
Customisation Options
Soundraw did not allow users to
input a prompt directly. Instead,
it followed a two-step process.
First, users would choose tags
for each category, such as genre,
mood, length, and tempo. After
that, the platform generated a
list of pre-made tracks based on
those selections. In the second
step, users could then modify the
tracks by adjusting key musical
elements like the key of the
song, BPM, and overall composition.
While this system provided
some level of control, it lacked
the creative freedom offered by
platforms that allowed for direct
prompt input and more dynamic
interventions.
8

Quality of the output
The music generated by Soundraw
was fine but nothing exceptional.
The output didn’t significantly
improve over multiple tries;
it remained consistent but somewhat
flat. We gave the platform
a 6/10 for quality because while
the music was functional and
well-produced, it lacked the depth
and richness needed for a more
refined, genre-specific sound like
melodic techno.
Supported formats
Soundraw allowed downloads via
link, MP3, and WAV (the latter only
available with a subscription).
This was one of the few platforms
that offered WAV, a higher-quality
format suitable for professional
production, which was a positive
aspect of its functionality.
Accuracy of thew Output
Soundraw did a good job of
interpreting the tags provided.
The tracks aligned well with the
selected keywords in terms of
mood, tempo, and genre. However,
because there was limited
room for customization beyond
the initial selection, it felt restrictive
in terms of creative freedom.
We rated the accuracy a 6/10—it
met the basic criteria of the tags
we chose but offered no flexibility
to fine-tune the music further.
Overall
Soundraw offered fast generation
times and decent quality, but its
restrictive interface and lack of
customization options made it
feel limited. The pre-generated
nature of the music, while efficient,
detracted from the sense
of originality, and the platform’s
complex interface added
unnecessary friction to the
user experience.
9

SYNTHIA
Synthia was the most disappointing platform we
tested, feeling more like an unfinished prototype
than a polished tool for music creation. Several key
features didn’t work, such as the download option,
and the generated tracks didn’t resemble fully
composed songs. Instead, they felt like disjointed,
random sounds. With tracks lasting no more than 30
seconds, Synthia fell short of being a platform capable
of generating complete pieces of music. At best,
the tool might be used to create samples, but it’s far
from ready to deliver full compositions.
Ease of use
Synthia was simple and straightforward.
Its interface was intuitive, with
minimal complexity, which made
navigating the platform easy even
for beginners. However, this simplicity
was undercut by the fact that
many features didn’t work. Users
could input a prompt, but there were
no additional customization options
beyond that. The platform advertised
features like mix and master,
sample extraction, and track extension,
but none of these functions
worked during our testing.
Customisation Options
Synthia didn’t have any
customisation options.
Generation Speed
Synthia was slow compared to
other platforms, taking around 1
minute and 30 seconds to produce
a track. Given the simplicity
and short length of the output,
the generation time felt disproportionately
long.
10

Quality of the output
It was the worst among all the
platforms we tested. The tracks
lacked any discernible structure,
often sounding like random noise
rather than music. Many tracks
included a distracting layer of
white noise, further degrading the
quality. The music felt unfinished
and poorly produced, resulting in
a highly unsatisfactory experience.
We gave Synthia a 1/10 for
quality of output.
Supported formats
Unfortunately, we couldn’t evaluate
Synthia’s supported formats
because the download button
didn’t work, leaving us unable to
test the output or its quality in
different formats.
Pricing options
No subscribtions available.
Accuracy of thew Output
Synthia performed poorly. The
platform consistently produced
very similar results regardless of
the prompt input. There was little
to no variation between tracks,
making it feel unresponsive to the
user’s directions. We rated accuracy
a 2/10 because of the platform’s
inability to meaningfully
interpret and respond to prompts.
Overall
Synthia was a major letdown.
Its limited functionality, lack of
customization, and poor-quality
output make it difficult to recommend
for any serious music
creation tasks. While it may have
potential as a sample generator,
the platform is far from being
able to generate fully-formed
songs or tracks.
11

UDIO
Udio was by far the most unpredictable platform
we tested, often producing results that seemed
completely random and unrelated to the provided
prompts. However, this unpredictability made it the
most experimental and innovative tool, capable of
generating unexpected ideas that could spark
creativity. While it wasn’t reliable for prompt-based
tasks, its out-of-the-box results made it appealing for
users looking for inspiration and
creative experimentation.
12
Ease of use
Udio was somewhat challenging.
The platform had a wide range of
features, but many of them were
poorly explained, making it difficult
to understand how to use certain
settings effectively. This lack of
clarity led to a moderate learning
curve, but once we got the hang of
it, the platform became more manageable,
though still not as intuitive
as others.
Generation Speed
Generation speed on Udio was
decent, with tracks taking 2-3
minutes to generate. This was
slower than some other platforms
but still within an acceptable
range for the level of customization
it offered.
Customisation Options
Udio provided two main modes:
simple mode and advanced mode.
In simple mode, users could
enter a text prompt, choose a few
keywords, and select between
two track lengths (32 seconds
or 2 minutes 10 seconds). There
were also options for creating or
auto-generating lyrics, or opting
for a lyric-free song. Advanced
mode offered more granular control,
with features like clip start,
lyric timing (controlling when the
lyrics would play), style reduction,
and clarity (determining the
space each instrument occupied
in the mix). The platform also
had a “seed” feature that allowed
for either consistent or random
outcomes, though we found it
confusing and didn’t fully grasp
its impact. The “prompt strength”
feature allowed users to control
how closely the track followed
the input prompt, often compromising
quality when set too high.

Quality of the output
We gave Udio a 5/10. The
tracks were inconsistent, with
some early attempts producing
poor-quality music. However, the
platform occasionally generated
unique and experimental ideas
that, while not sounding like fully
polished tracks, had the potential
for further development. Udio
stood out for its innovation and
the interesting, creative snippets
it generated, even if the overall
quality was not as high or consistent
as we’d hoped.
Supported formats
Udio offers a wide range, including
video, MP3, WAV, and even
stems in WAV format. This flexibility
made it a good choice for
those interested in further production
or remixing.
Accuracy of thew Output
Udio performed poorly, earning a
1/10. The platform almost never
responded to prompts in a meaningful
way. Regardless of the
input, it often produced random
genres like classical, alternative,
reggaeton, or experimental electronic
music, making it the least
reliable platform for producing
prompt-specific tracks.
Overall
Udio was an unpredictable and
inconsistent platform in terms
of quality and accuracy, but it
stood out for its innovative and
experimental approach to music
generation. While it struggled to
produce polished final tracks, it
was a great resource for sparking
creativity and generating unconventional
musical ideas.
13

SUNO
Suno AI stood out as the most popular platform among those
we tested, and it ultimately became our favourite, leading us to
purchase a monthly subscription. However, one of our general
observations was that the platform lacked consistency—using
the same prompt could produce completely different results
each time. Interestingly, while the monthly subscription didn’t
directly improve the quality of the output, the increased credits
allowed for more experimentation, which helped us get better
results over time. Additionally, the generation time decreased
with the paid plan.
Ease of use
Suno AI was very straightforward
and easy to navigate. We didn’t
encounter any confusing elements
during our time with it, and the
platform was simple to operate from
the start, making it accessible to all
levels of users.
Generation Speed
Suno AI was impressively fast. It
took about 20 seconds to start
playing the track, which continued
to develop while the music
was playing. This feature was
particularly useful because it
significantly reduced the waiting
time, and the ability to hear the
track as it generated made the
experience much smoother.
Customisation Options
Suno AI provided two main
modes: easy mode and custom
mode. In easy mode, you could
enter a 200-character prompt
and click the ‘create’ button, with
the choice of an instrumental
or lyrical track. Custom mode,
on the other hand, allowed for
more detailed control, offering
the ability to write your own
lyrics, be more precise with the
musical style, modify the song
title, and exclude certain genres.
This added flexibility in custom
mode gave users more creative
freedom, though it still had some
limitations compared to
other platforms.
14

Quality of the output
Our experience was mixed. The
first few attempts were unsatisfying,
but after 3 to 4 tries, we
saw noticeable improvements.
We found that simpler and less
complex prompts generally led to
better results, as more detailed
prompts seemed to confuse the
AI. Despite some initial setbacks,
the platform was capable of
producing decent tracks with the
right input. We gave the quality
a 7/10, noting that while the final
results were satisfying, the process
to get there could be
hit or miss.
Supported formats
Suno AI allowed users to download
the music as an MP3 or
access it via a link. While this
was convenient for basic use, it
lacked the broader range of file
formats (like WAV) that other platforms
offered, which could limit
post-production flexibility.
Accuracy of thew Output
However, was where Suno AI
struggled the most. We rated the
platform 5/10 in this area. The
output often felt random, and
while it was possible to eventually
achieve the desired result, it
was difficult to find a clear pattern
for how to structure prompts
effectively. The same prompt
could lead to entirely different
tracks, which made the platform
feel inconsistent.
Overall
While Suno AI was easy to use
and had a fast generation speed,
it was inconsistent in terms of
accuracy. However, with some
trial and error, it was capable of
producing decent quality music.
The subscription allowed for
more experimentation and faster
results, which ultimately led to
better tracks, making it a favorite
despite its occasional unpredict-
15

CONCLUSION
Overall, we were somewhat
unimpressed with the final songs
generated by the AI platforms. While
the tracks were acceptable, they
often felt generic and lacked the
innovation we were hoping for. That
said, we believe these platforms,
though not ideal for producing full
songs, can be valuable tools for
sparking creativity or providing
tracks that could be used as
samples.
Each platform showcased different
strengths and can serve different
purposes depending on what you’re
looking for. For instance, Suno
consistently produced the bestsounding
songs, while Udio offered
wild, unconventional ideas that could
be a source of inspiration.
In conclusion, although none of
the platforms excelled in creating
polished, original tracks, they hold
great potential as creative aids. Here,
we’ve attached the best three tracks
we were able to create with each
platform, offering a snapshot of what
they can produce.
16

FINAL TRACKS
SUNO
https://on.soundcloud.com/1bjAGkBjo2iFtNRKA
AITUBO
https://on.soundcloud.com/khB8TqLDpPP32uGq8
UDIO
https://on.soundcloud.com/sQ6qzigJwUrjFutA6
SOUNDRAW
https://on.soundcloud.com/ahiNkqXUpXGY6VVU8
SYNTHIA
https://on.soundcloud.com/s4ccsauLaGmKpxb4A
17

Title>>> Analysing the distribution of
falling balls on a galton board with AI
# Tools>> Copilot, microsoft AI assistant
# Blender,3D moddeling software
# Author>> Eloise Lobmeyr
# Summary>> AI can be a powerful tool to
efficiently generate your best ideas and
enhance creativity. I challenged myself
to create something I had never done
using AI, incorporating both coding and
simulation.
Intro >< On artificial
intellignece

Intro >< On Creativity

ARN (bke.rigidbody): C:\Users\blender\git\blender-v400\
lender.git\source\blender\blenkernel\intern\rigidbody.
c:414 rigidbody_get_shape_trimesh_from_mesh: no geometry
ata converted for Mesh Collision Shape (ob = Cube.041)
raceback (most recent call last):
File “C:\Users\lobme\Downloads\Blind\Animation course
hysics try out.blend\Simulation balls”, line 55, in
ttributeError: bpy_struct: attribute “materials” from
Mesh” is read-only
rror: Python: Traceback (most recent call last):
File “C:\Users\lobme\Downloads\Blind\Animation course
hysics try out.blend\Simulation balls”, line 55, in
rror: Python: Traceback (most recent call last):
File “C:\Users\lobme\Downloads\Blind\Animation course
hysics try out.blend\Simulation balls”, line 49, in
ermissionError: [Errno 13] Permission denied: ‘galton_
oard_data.csv’
lenderkit: Request for BlenderKit-Client reports
ailed: HTTPConnectionool(host=’127.0.0.1’,
AI is here to help you retries exeeded
Read the following pages to understand how by ConectTimeoutError(, ‘Connection to 127.0.0.1 timed
ut. (connect timeout=0.1)’)) [11:20:00.781, timer.py:54]
lenderkit: BlenderKit-Client v1.1.3 starting on
ttp://127.0.0.1:62485, log file at: C:\Users\lobme\blendrkit_data\client\default.log
[11:20:00.793, daemon_lib.
y:589]
lenderkit: BlenderKit-Client is running on port 62485!
11:20:01.033, timer.py:101]
nfo: Saved “Animation course physics try out.blend”
ttributeError: bpy_struct: attribute “materials” from
Mesh” is read-only
raceback (most recent call last):
File “C:\Users\lobme\Downloads\Blind\Animation course
hysics try out.blend\Simulation balls”, line 55, in

The challenge ><
The galton board
Objective
# two weeks
# 3D model a Galton board
# Analyse the data
Tools
# Copilot, microsoft AI assistant
# Blender,3D moddeling software
Print
(>This challenge reflected AI
capabilities, helping people execute
their ideas. The following pages will
analyse the process I used to create a
3D model of a Galton board, and analyse
the probability of the end location of
the falling balls. It will identify the
key aspects of AI’s usefulness.>)

Finding a
project idea
Planning and
execution

Problem
solving
Sumary
( ‘ Ai helps you manage
your workflow, your time
and your needs, helping
you every step of the way
by solving any issues you
encounter.’)

‘How do you unhide an object?’
Using Hotkeys:
Press Alt + H to unhide all hidden objects in the scene.
Using the Outliner:
Go to the Outliner panel (usually on the right side).
Click the eye icon next to the object you want to unhide.
Using the Menu:
In the 3D Viewport, go to the top menu and select Object >
Show/Hide > Show Hidden Objects.
How can I render an image in blender?
Rendering an image in Blender is a straightforward
process. Here are the basic steps to get you started:
.ERROR The PermissionError: [Errno
13] Permission denied.>>
3D MODELLING
( ‘This is the first
proof that AI is a great
tool. I managed to create
a Galton board’)

Here’s the updated script that includes a check for the
column names and handles the KeyError:
Python
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
# Load data from CSV file
data = pd.read_csv(‘path_to_your_csv_file.csv’)
# Print the column names to verify
print(“Column names in the CSV file:”, data.columns)
# Check if the expected column ‘values’ exists in the
DataFrame
if ‘values’ not in data.columns:
raise KeyError(“The column ‘values’ was not found in
the CSV file. Please check the column name.”)
# Assuming the data is in a column named ‘values’
values = data[‘values’]
# Create a histogram with 7 bins and KDE
plt.figure(figsize=(10, 6))
sns.histplot(values, bins=7, kde=True, color=’skyblue’,
edgecolor=’black’, stat=’probability’)
# Add titles and labels
plt.title(‘Distribution of Balls in 7 Probability Bins’)
plt.xlabel(‘Bins’)
plt.ylabel(‘Probability’)
# Set x-axis to numbers from 1 to 7
bin_edges = np.linspace(min(values), max(values), 8)
bin_centers = 0.5 (bin_edges[1:] + bin_edges[:-1])
plt.xticks(RENDERS OF THE GALTON BOARD)
# Save the plot as a PNG file in the current working directory
plt.savefig(‘distribution_plot.png’)

Coding
Understanding
the code
for frame in range(100): # Adjust the range for longer or shorter delays

Error code
Patience and
determination
Sumary
( ‘ Coding has never been
easier, thanks to AI.
While AI tools significantly
simplify the process,
achieving success
still requires determination
and patience.’)

Analysing the
data
Feeling lost
Copilot, a safe
space

Additional
ressources
Sumary
( ‘ Coding has never been
easier, thanks to AI.
While AI tools significantly
simplify the process,
achieving success
still requires determination
and patience.’)

# Once the script worked, it would print a location in the
computer on where to find the graph created.
print(f”Final locations saved to {desktop_path}”)
C:UserslobmeDocumentsgalton_board_data.csv
WARN (bke.rigidbody): C:\Users\blendblender.git\
source\blender\blenkernel\intern\rigidbody.cc:414 rigidbody_get_shape_trimesh_from_mesh:
no geometry data con-

Coding a graph
CATASTROPHE
Sumary
( ‘ CTRL + S ’)
ALWAYS SAVE YOUR FILES>>
Remaking the
entire project

print(f”Final locations saved to {desktop_path}”)
C:UserslobmeDocumentsgalton_board_data.csv
Sumary
( ‘AI is just a tool, and
there are times when it
can’t provide the help
you need. That’s why it’s
crucial to understand the
process yourself, so you can
solve problems more easily
and get better results, even
when AI doesn’t have the
answers.’)

Conclusion
If I managed to 3D model
and code everything within
two weeks with the help
of AI, you can also bring
your ideas to life. Imagine
what you could achieve on
a larger scale. You can
realize your own ideas
efficiently and without
spending a dollar. The only
investment required is a
bit of your time. Don’t be
afraid of the process—it’s
fun and easier than you
think. Just get started,
find an idea, and make it
happen.
Of course, you will
encounter challenges, but if
you are truly determined,
AI is an amazing tool that
can help you generate and
develop your great ideas.
Note
( ‘ AI helped me write this magazine
script. I used to be scared of
writing because English isn’t my first
language, but not anymore. I wrote in
my style and asked Copilot to fix the
errors. Without this help, my writing
would have been hard to understand.’)

Modern Days-Fashion & AI
Project name: The Role of AI Tools in shaping Fahsion
Authors: Lucia Schulenburg
Tools and platforms used: Alpha3d, Meshy.ai, Midjourney, Chatgpt
Joan D’Arc as an
inspiration
I decided to create a fashion line inspired
by Joan of Arc because she embodies the
essence of a powerful woman—brave,
resilient, and ahead of her time. Lately,
fashion trends have often looked to the
past, but rather than revisiting the usual
eras, I wanted to take it all the way back
to the medieval period. By channeling the
strength and symbolism of Joan of Arc, I
aim to bring a fresh, timeless perspective
to modern fashion, celebrating both
history and empowerment. Joan of Arc is
one of the most iconic figures in history,
celebrated for her courage, faith, and role
in the Hundred Years’ War between France
and England.

“A power icon
for women”
Joan D’Arc
Born on January 6, 1412, in
Domrémy, France, Joan of Arc
rose from a humble peasant
background to become a key
figure in the Hundred Years’
War. At the age of 13, she
claimed to hear divine voices
from saints, directing her to
support Charles VII of France.
Despite being an unlikely leader
in a male-dominated military,
Joan’s faith and determination
convinced Charles to allow her
to lead an army. In 1429, she
played a crucial role in lifting
the Siege of Orléans, a victory
that changed the course of
the war and led to Charles
VII’s coronation. However, in
1430, Joan was captured by
the Burgundians and sold to
the English. She was tried for
heresy, accused of crossdressing
and other charges,
and ultimately executed by
burning at the stake in 1431
at the age of 19. Despite
her tragic death, Joan was
posthumously exonerated and
canonized as a saint in 1920.
Joan’s courage and leadership
broke traditional gender
norms, making her a symbol
of female empowerment. By
leading soldiers and wearing
men’s armor, she challenged
the societal expectations
of her time. Her faith in her
mission, resilience in the face
of injustice, and defiance
of oppression continue to
inspire women today. Joan of
Arc’s legacy as a feminist icon
endures, symbolizing strength,
determination, and the fight
for justice and equality.

New Materials and Technologies
Innovative textiles are emerging,
including smart fabrics that adapt to the
environment, monitor body conditions, or
improve functionality like moisture-wicking.
At the same time, blockchain technology
is enhancing traceability, ensuring that
consumers can verify the ethical and
sustainable credentials of their garments
Creative Drive with AI
AI is transforming the fashion industry
by predicting trends and understanding
customer preferences. Tommy Hilfiger’s
‘Reimagine Retail’ project uses AI to
streamline design, enhancing creativity. In
Hong Kong, Calvin Wong’s AiDA system
generates blueprints, optimizing workflows
while preserving artistry. This integration
of AI shapes the future of fashion design
and retail
Where fashion is heading
Sustainability
Consumers are increasingly
prioritizing eco-conscious choices,
and brands are focusing on reducing
their environmental impact. Artificial
intelligence (AI) is playing a big role
in this by optimizing supply chains,
reducing waste, and cutting down on
carbon emissions. Stella McCartney’s
partnership with Google Cloud is an
example of using machine learning
to improve transparency in fashion
production, tracking everything
from raw material sourcing to waste
management
Automation and AI
Automation in fashion manufacturing
is growing, from AI-powered
machines that cut, sew, and finish
garments, to advanced analytics
tools predicting trends and consumer
preferences. For example, Tommy
Hilfiger has integrated AI into its
design processes to streamline
production. AI is also improving virtual
try-on experiences, with brands like
Burberry and Google Shopping using
AR to reduce sizing issues, improving
customer satisfaction.
Personalization
The rise of mass customization is
transforming how fashion is produced
and consumed. Consumers are
seeking personalized products,
and brands are responding with
tools like 3D printing and AI-driven
customization. This trend is seen in
the success of direct-to-consumer
brands that offer unique, made-toorder
pieces..

Modern Joan D’Arc designed by Midjourney

The future
of fashion
Modern Joan D’Arc dress designed by Alpha.3d
The future of fashion is undeniably exciting,
with AI-driven creativity and personalization
leading the way. As the industry embraces
new technologies, from 3D printing and AI
customization to virtual fashion, designers like
myself are able to experiment in ways never
before possible. For my Joan of Arc-inspired
collection, tools such as alpha 3d, meshy.ai and
midjourney have provided a new avenue for
creativity, allowing me to craft garments that not
only reflect the strength and heroism of the past
but also align with modern values.
For these divergent Ai tools I used many
different prompts trying to create the perfect
garments that I would imagine in my mind. My
frist promt, such as “Create a armour inspired
dress with a modern touch” would fail my
imagination and show me that Ai 3d tools need
a very descriptive prompt. “metallic color palette
of silver, steel grey, and accents of deep jewel
tones for a sophisticated, otherworldly look.”got
me a bit more defined garments, even tough
I could not use it for the Alpha 3d platform as
it had too many words. But for the tool meshy
3d it showed me a dress that got closer to my
imagination. Seeing that these sort of prompts
worked better I started using very specified
texts for the the divergent Ai tools, also adding
texture to the garmets, which made them look
more realistic. Such as the image to the left.
Continuing using different prompts such as
“Create a 3D model of a futuristic, armorinspired
gown that blends medieval aesthetics
with modern fashion design. The bodice should
mimic the form of a sleek, metallic breastplate,
with engraved or embossed detailing, smoothly
contoured to the body. Incorporate layered,
flexible chainmail textures in the skirt, using
lightweight, translucent materials that flow with
movement. Add structured, angular shoulder
pieces resembling pauldrons for a bold, powerful
silhouette. Ensure the design remains elegant
and feminine, combining sharp geometric
elements with soft, flowing lines.
Modern Joan D’Arc dress designed by Meshy.ai

Modern Joan D’Arc dress designed by Meshy.ai

Maintaining the guidelines I set for the
prompts I started creating different
garments such as a Corset. An Example
for one of the prompts I used is “a corset
inspired by mediaeval armour. The structure
should resemble a fitted breastplate, with
sleek, curved metallic panels and engraved
details. Integrate flexible, chainmail-like
textures along the sides for mobility, while
maintaining a strong, protective aesthetic.
The overall shape should be form-fitting and
accentuate the waist, blending rigid armour
with feminine contours. Use a metallic colour
scheme with subtle detailing for a refined,
warrior-like look.” This specific prompt
illustrated a fine looking Corset using the
tool Meshy.ai, but did not succeed for the
platform Alpha.3d. For that one I shortened
the prompt, but unfortunately this Ai.3d
tool disappointed me and didn’t give me the
outcome I expected.
tapered, balancing a protective, edgy look
with mobility. Use a metallic palette of silver
and gunmetal with dark accents”.
Modern Joan D’Arc pants designed by Meshy.ai
After creating different prompts to develop
the pair of pants I had in my imagination
I moved on to create a pair of shoes that
would fit to the outfit. I wanted to work with
Alpha.3d as it mainly disappointed me in
comparison with Meshy.3d. The prompts I
used are as follows: “Design armour inspired
shoes combining mediaeval armour elements
with modern footwear”. Again the outcome
of this wasn’t satisfying my imagination.
Modern Joan D’Arc corset designed by Meshy.ai
Carrying-on with my process I wanted to
develop some armour inspired pants in a
modern way. Therefore I developed prompts
for this goal, trying to reach my imagination,
such as “Create 3D pants with armourinspired
design. Feature segmented metallic
panels on the thighs and knees, resembling
plate armour, with mesh or chainmail-like
fabric for flexibility. Keep the fit sleek and
Modern Joan D’Arc shoes designed by Alpha.3di
To continue I went back to work with
Meshy.3d. I created divergent prompts such
as: “Design 3D shoes inspired by Joan of Arc,
combining mediaeval armour elements with
modern footwear. The shoes should feature
metallic textures resembling plated armour,

with intricate engravings and strong, angular
lines. Add details like chainmail-inspired
straps or lacing for a bold, warrior-like look.
The silhouette should balance strength and
elegance, with a sturdy, protective feel, yet
sleek and wearable. Use a colour palette of
silver, pewter, and dark leather accents for a
mediaeval yet contemporary style.
Unfortunately Meshy.3d didn’t give me the
outcome I needed so I started working a bit
on the prompt: “Shoes inspired by Joan of
Arc, combining mediaeval armour elements
with modern footwear. The shoes should
feature metallic textures resembling plated
armour, with intricate engravings and strong,
angular lines. Add details like chainmailinspired
straps or lacing for a bold, warrior-like
look. The silhouette should balance strength
and elegance, with a sturdy, protective feel,
yet sleek and wearable. Use a colour palette
of silver, pewter, and dark leather accents”
Modern Joan D’Arc boots designed by Meshy.ai
Even though I was partially satisfied with
the outcome of the shoes I thought it didn’t
really work with the entire Joan D’Arc fit.
Therefore I decided to create some Boots
instead of normal shoes. To create this I again
tried out both platforms. For Alpha.3d I used
this specific prompt: “Design armour inspired
boots combining mediaeval armour elements
with modern footwear. The material should
be metal”
After I continued working with Meshy.3d,
using “Design 3D armour-inspired boots with
a rugged yet sleek look. Feature metallic
plates around the toes, heels, and shin,
resembling mediaeval armour, with engraved
details for texture. Add flexible, chainmaillike
material around the ankle for mobility.
The boots should have a strong, structured
silhouette with a modern, battle-ready feel.
Use a metallic colour palette with silver, steel,
and dark leather accents”. This outcome
again gave me more satisfaction and was
more like the image I had in my mind
Another tool I used was Midjourney. The
images on page 4 and 10 are created by
Midjourney. For this tool I used this prompt:
“A modern Joan D’arc wearing modern
armour. Dressed in a modern, stylish outfit
that combines elements of armour and high
fashion, such as a tailored metallic jacket
with structured shoulders, sleek black pants,
and combat boots. Her hair is styled in a
bold, asymmetrical cut, with blond colour,
symbolising her defiance and individuality.
She carries a futuristic sword, symbolising
her fight for justice, and stands confidently
atop a city rooftop, overlooking the bustling
streets below. The skyline is a mix of historical
and modern architecture, reflecting the
blend of tradition and innovation. The
atmosphere is charged with energy, as if she
is preparing to lead a movement for change.”
In conclusion working with Midjourney was
fun but it wasn’t really necessary as I was
more looking to create the garments instead
of creating a full person.
Modern Joan D’Arc boots designed by Meshy.ai
Modern Joan D’Arc boots designed by Alpha.3di

Carrying-on with my process I wanted to
develop some armour inspired pants in a
modern way. Therefore I developed prompts
for this goal, trying to reach my imagination,
such as “Create 3D pants with armourinspired
design. Feature segmented metallic
panels on the thighs and knees, resembling
plate armour, with mesh or chainmail-like
fabric for flexibility. Keep the fit sleek and
tapered, balancing a protective, edgy look
with mobility. Use a metallic palette of silver
and gunmetal with dark accents”.
After creating different prompts to develop
the pair of pants I had in my imagination
I moved on to create a pair of shoes that
would fit to the outfit. I wanted to work with
Alpha.3d as it mainly disappointed me in
comparison with Meshy.3d. The prompts I
used are as follows: “Design armour inspired
shoes combining mediaeval armour elements
with modern footwear”. Again the outcome
of this wasn’t satisfying my imagination.
To continue I went back to work with
Meshy.3d. I created divergent prompts such
as:
“Design 3D shoes inspired by Joan of Arc,
combining mediaeval armour elements with
modern footwear. The shoes should feature
metallic textures resembling plated armour,
with intricate engravings and strong, angular
lines. Add details like chainmail-inspired
straps or lacing for a bold, warrior-like look.
The silhouette should balance strength and
elegance, with a sturdy, protective feel, yet
sleek and wearable. Use a colour palette of
silver, pewter, and dark leather accents for a
mediaeval yet contemporary style.
Unfortunately Meshy.3d didn’t give me
the outcome I needed so I started working
a bit on the prompt: “Shoes inspired by
Joan of Arc, combining mediaeval armour
elements with modern footwear. The shoes
should feature metallic textures resembling
plated armour, with intricate engravings
and strong, angular lines. Add details like
chainmail-inspired straps or lacing for a
bold, warrior-like look. The silhouette should
balance strength and elegance, with a sturdy,
protective feel, yet sleek and wearable. Use
a colour palette of silver, pewter, and dark
leather accents”
Failure?

Modern Joan D’Arc designed by Midjourney

Project name: Reimagining Fashion: Exploring
the efficacy of AI tools in redesigning a brand’s
clothing and visual image.
Author: Jessamine Hamilton
Tools and platforms used: Mid Journey and
ChatGPT 4
I will conduct an in-depth analysis of a smaller-scale
brand called Two Jeys, delving into
their core values, distinctive style, and rich heritage.
Following this research, I will employ AI
to reimagine a clothing collection for the brand
as though it had launched in the 1970s.
The primary aim of this project is to assess
the effectiveness of AI in redesigning a clothing
line rooted in a specific historical context
while staying true to the brand’s original values
and aesthetics. By choosing a lesser-known
company, I aim to increase the complexity of
the task for the AI, providing an opportunity to
evaluate how well it interprets and responds to
the creative prompts given.
I will explore various AI tools, including
ChatGPT-4 and Midjourney, to determine
which platform best addresses the brief and
demonstrates the highest levels of efficiency
and ease of use.

TWOJEYS BRAND RESEARCH:
TwoJeys is an emerging unisex brand founded in 2019 by Joan Margarit
and Biel Juste, inspired by Californian aesthetics from their Route 66 journey.
While known for its jewellery, the brand also offers a unique collection
of merchandise, including stylish t-shirts and hoodies that blend edgy
aesthetics with urban fashion. This paper will focus on these merchandising
items.
These merchandising items include popular t-shirts and hoodies that
prominently feature their logo, enhancing brand promotion. The clothing
is inspired by streetwear, characterised by a laid-back and edgy aesthetic.
Key elements of their collections include muted tones, large oversized
fits, and a lack of patterns, making the items versatile and appealing to a
youthful demographic.

Their marketing features visually
captivating images of
motorcycles, skateboards,
and surfboards, positioning
their merchandise as essential
companions for adventurous
endeavours.
TwoJeys aims to sell an adventurous
lifestyle through their
products, appealing to those who
seek excitement and live in the
moment. Their merchandise is designed
for individuals passionate
about adrenaline-fueled activities,
inspiring wearers to embrace
thrilling experiences fully.

70’s FASHION TRENDS:
The 1970s were a flashy decade, and the social movements along with
cultural changes really hit bottom in the fashion world. The main movements
included the counterculture of hippies, which glorified free-spiritedness
and self-expression in their bohemian manner and was characterised
by flowy maxi dresses and bell-bottoms
Then came the disco scene that became synonymous with the night and
all its glamour, with its twinkling jumpsuits and sequined outfits, not to
mention the ultimate platform shoes. Punk emerged as an angry backlash
to mainstream culture, with its leather jackets, ripped jeans, and
other ornaments that ranged from the unmentioned to safety pins.
Other noticeable trends included glam rock, which was best known for
its wild and crazy clothes together with metallic fabrics that sometimes
blurred the line of demarcation between male and female. Athleisure, too,
since the rise in the fitness culture started to provide everyday wear for
sporty garments such as tracksuits and sneakers. These fashion trends
were supported by innovative materials, including synthetic fabrics-highlights
of polyester and nylon, denim, and natural fibres, such as cotton
and linen.
The iconic artists of the time, David Bowie, and cultural figures, Farrah
Fawcett, played a very important role in setting 70’s fashion trends, which
absolutely corresponded to the spirit of that era-promoting individuality
and self-expression.

THE PROMPTS USED FOR BOTH AI TOOLS (see full prompts in appendix)
Prompt 1: Asked AI to re-create TWO JEYS merchandise without any existing
images of the brand, to see how well it responds to curated information. I included
brand name logo: TwoJeys,, type of merchandise: tshirts and hoodies, target
audience: unisex & young adults, aesthetic influence: California aesthetic and
skate culture, main colours: greys, beiges, greens, oranges, patterns: die dye
effect, texture: worn out appearance, material: cotton.
Prompt 2: Now combined information with 70’s fashion. Included minimal information
about TwoJeys, mainly focusing on describing the clothing styles such
as featuring bell-bottom jeans, track jackets, and vintage-inspired skate shorts.
Mentioned 3 most popular fashion trends: Bohemian Influence, Punk Edge and
Disco and what they incapsulate.
Prompt 3: Same as above, but this time only chose to mention 1 major fashion
subculture in the brief which was “Bohemian influence” and its fashion elements.
Prompt 4: Same as above, but this time focusing on the subculture of “Disco”
while maintaining key information about TwoJeys.
Prompt 5: Same as above, but lastly focusing on the subculture of “Punk Rock”
while maintaining key information about TwoJeys.
MIDJOURNEY INITIAL RESULTS:
1. 2.
3. 4.
5.

CHAT-GPT4 INITIAL RESULTS:
1. 2.
3.
4. 5.
MID JOURNEY OBSERVATIONS
During my experience with MidJourney, I found the user interface to be
very easy to navigate. I particularly appreciated that once image generation
began, my prompts were saved and linked to each image. This
feature allowed me to quickly refer back to previous prompts if I was dissatisfied
with the output and make adjustments as needed. Overall, this
user-friendly aspect helped me save time while refining my prompts.
However, I encountered several key issues during my experimentation:
Firstly, I aimed to see how well MidJourney could curate clothing designs
specifically for the brand Two Jeys. I quickly noticed that it struggled to
accurately feature the “Two Jeys” logo on the clothing and couldn’t incorporate
the “two star logo.” Instead of rendering the logo, it would simply
write “two stars.” This inability to recognize important text and symbols
was problematic, as the brand name was essential to the success of the
merchandising images I was striving to create.
Secondly, when I attempted to merge information about the brand with
1970s aesthetics, I found that MidJourney had difficulty integrating these
two distinct themes seamlessly. My initial prompts were quite dense,
containing multiple fashion trends from the 70s subculture; however, the
generated images often failed to capture specific design elements tied
to those subcultures, focusing instead on creating colourful clothing that
only vaguely referenced the 1970s.

To improve results, I decided to separate my prompts by distinct subcultures.
This change allowed MidJourney to more effectively extract the
necessary design elements from the three different subcultures: Bohemian,
Disco, and Punk. After separating the prompts, I noticed a significant
improvement in how MidJourney responded. However, there remained an
ongoing issue where the brand name was sometimes not included at all,
or only partially rendered, capturing only “Two” or “Jeys” instead of the full
name “Two Jeys.”
CHAT-GPT 4 OBSERVATIONS
I used the same prompts for both MidJourney and ChatGPT-4 to evaluate
which tool would provide the best results. ChatGPT-4 excels at crafting
detailed prompts that effectively capture all aspects of my research.
However, I encountered several issues when it came to image generation.
In my initial prompt, ChatGPT-4 successfully created a set of merchandise
clothing for the brand that closely resembled their existing products
in terms of colour and visual style. However, when I introduced the
concept of merging in 1970s aesthetics, the tool struggled to respond
effectively. While it performed well with my second prompt, it failed to
generate images that accurately reflected the brand’s identity when I provided
prompts that focused on specific subcultures. Crucially, none of the
images included the brand name, "Two Jeys," which meant they did not
meet the requirements of the brief.
Despite these challenges, I must emphasise that the image quality produced
by ChatGPT-4 was significantly better and more consistent than
that of MidJourney.
IMPROVEMENTS
After experimenting with both tools, I decided to continue using MidJourney
due to its user-friendly interface and its capability to incorporate
images into prompts. I believe that the ability to add visuals is a significant
advantage, as it enhances the AI’s ability to generate more accurate and
contextually relevant images. By interpreting both written prompts and
accompanying visuals, MidJourney can create better-aligned results that
meet users’ specific needs.

FINAL DESIGNS

MAIN TAKEAWAYS
After analysing my results, I must express my disappointment with MidJourney's
and ChatGPT's ability to effectively respond to my prompts.
While I believe both tools can create stunning images, I encountered
difficulties when presenting them with complex and intricate briefs.
I don’t want to be overly negative, as these tools are relatively new to
the market. I am optimistic that, as AI technology continues to advance,
these tools will become refined and better at understanding and responding
to user prompts.
In hindsight, it might have been beneficial to explore other AI tools to see
if they could merge concepts more effectively. However, the high cost of
many AI platforms limited my ability to experiment further.
Additionally, I think that selecting a larger, established brand with a more
defined clothing collection could have granted better results. Two Jeys,
being focused on limited edition merchandising rather than an established
clothing line, presented a challenge. The lack of a cohesive range
may have restricted the depth of the clothing briefs, which could explain
why the AI tools struggled to produce satisfactory responses. Furthermore,
the limited clothing options made it difficult to assess the AI's
performance accurately, as there simply wasn’t enough material to draw
a fair comparison.

PROS & CONS OF USING AI TOOLS FOR RE-DESIGNING:
The integration of AI tools like ChatGPT-4 and MidJourney into the
fashion industry offers the potential to significantly enhance the clothing
design process. While these tools present numerous advantages, they
also come with notable challenges that brands must carefully consider.
One of the main benefits of ChatGPT-4, among others, is the potential to
create creative textual descriptions, style guides, and branding concepts
faster. It simplifies the design process by speeding up the ideation and
iteration of ideas. MidJourney is extremely good at creating high-quality
visuals from simple prompts; this means that niche apparel visuals can
be quick and powerfully effective. In addition, both offer very accessible
interfaces that are inviting for creative investigation without demanding
much prior technical experience.
Both of these tools are incredibly capable of providing inspiration from
diversified sources. ChatGPT-4 has made a great deal of fashion trends
and cultural influences available, which help designers shape innovative
concepts, while MidJourney visually generates stunning outputs by pulling
in a range of artistic styles.
Of course, there are also considerable downsides to each. Output quality
tends to be inconsistent; MidJourney's images sometimes can lack detail
or not quite fulfil certain design specifications, and ChatGPT-4 may create
responses that aren't in complete adherence with user intent. Both tools
also struggle to accurately capture a brand’s unique identity, resulting in
outputs that do not resonate with the brand’s core values as represented
in my project.
The ownership of content generated using AI is a crucial aspect that
requires further exploration in the future. This issue raises significant
intellectual property concerns, potentially leading to legal implications for
brands. Additionally, there is a risk that designers may become overly reliant
on technology, which could diminish their creative instincts and result
in uniformity of design ideas across the industry.
In short, ChatGPT-4 and MidJourney unlock incredibly powerful features
with respect to redesigning clothes, while the brands remain open to
embracing those features into their design processes.

Art by Algorithm
Project name: Artistic Collaboration with AI
Authors: Valeria Sierra
Tools and platforms used: Midjourney, Chat GPT
This project explores a collaborative
process with AI, aiming to create
visual photorealist art pieces and
to question AI’s current and future
involvement within the art world.
Through the use of Midjourney
and ChatGPT (Dall-E extension),
I analyzed and observed patterns
in regards to the way AI reads
art pieces, describes aesthetics
and characteristics, responds to
prompts, and probed different ways
to collaborate with the platforms in
order to generate my “own” art. This
report will try to inquire if AI can be
integrated into the art creation process
in an ethical way, while questioning
its lack of cultural significance,
appropriation issues and removal of
agency.
Marina schminkt Luciano
Franz Gertsch , (1975)

01
“
Franz Gertsch
I’m not concerned with painting
reality, but with creating a reality
through painting.
I chose to use the work of swiss
painter Franz Gertsch as a baseline for
this project. Gertsch is best known for
his large-scale photorealistic paintings,
which have earned him widespread
recognition in the last few decades. His
work as a contemporary artist revolves
around painting his photographs,
which often include subjects such
as his friends, nature, and everyday
occurrences. His meticulous level of
detail allows him to perfectly capture
the cultural atmosphere and emotional
depth of his subjects. I conducted my
observations and based my creative
inspiration with several of his most
acclaimed paintings. I used his work
to understand how AI platforms read
and describe hyperrealistic art, how to
properly prompt in order to generate
good art, and additionally as a source
of inspiration and artistic fusion with my
own personal photographs.
”
Self-Portrait
Franz Gertsch , (1980)

02
How AI Reads Art
To begin I wanted to explore to what
extent can AI accurately read and
interpret hyper realistic artworks. For this
part of the process I used the /describe
command in the MidJourney Discord
server, a tool that allows users to input
an image in order for the AI to describe
it in the form of a prompt. I was curious
about what patterns would come up, what
level of attention to detail AI has, and its
aesthetic description capacities. I gathered
some key observations.
1. References
The /describe command gave me four
different descriptions, each no longer
than three sentences, and surprisingly
referenced other artists. The other
artists referenced are stylistically very
different from Gertsch’s aesthetic. For
example, David LaChapelle (whom came
up in almost all of the attempts), is a
photographer and contemporary artist that
works with overly saturated colors and
surreal elements, which led me to wonder
why Midjourney would reference his work
when describing Gertsch’s. Consequently I
asked ChatGPT to describe LaChapelle’s
work and style, key words like
“elaborate”, “highly detailed” and “hyperrealistic”
came up. These exact key
words came up when I asked ChatGPT
to describe Gertsch’s style, leading me to
believe that these matching interpretations
cause AI to believe that both artists are
comparable.
2. Gender Biases
Midjourney has certain subtle biases when
reading images, specifically regarding
gender. When describing Marina schminkt
Luciano (Figure 1), AI assumes the
gender of both people presumably based
on their hair length.The person on the
left is described as a man
and the person on the right as a woman,
getting both incorrect. Additionally, in
Medici (Figure 5), it assumes the man
in the middle is a woman based on his
handbag (Figure 6, prompt 1).
3. Inffering
Midjourney makes several assumptions,
for example, in Irene XVIII (Figure 3) it
assumes the woman is a singer (Figure
4, prompt 2), although no elements of
the painting allude to her being one.
AI also assumes the woman is Lady
Elizabeth Knight (Figure 4, prompt 4),
a British film actress. Additionally, in
Medici (Figure 5), The AI tried to give
specificity to the prompt by describing the
group of men as popular 70s bands. No
elements of the painting directly allude or
make the viewer assume that these are
members of a band. These assumptions
are likely due to patterns based on the
data the algorithm has available.
3. Understanding Style
Midjourney understands style to an extent,
this is evidenced through keywords such
as “photorealistic” (Figure 4, prompt
3), showing accurate interpretation of
the artwork. However, Midjourney wasn’t
able to understand that Medici (Figure
5) is a painting, instead, it describes
it as an “old” or “vintage” photograph,
even attempting to guess the decade it
was taken in (Figure 6), showing it’ not
fully trained for understanding the style of
artworks.

Figure 1. Marina schminkt Luciano (1975)
Figure 2. Midjourney’s prompts
Figure 3. Irene XVIII (1981)
Figure 4. Midjourney’s prompts
Figure 5. Medici (1972)
Figure 6. Midjourney’s prompts

03
Replicating Franz
To further understand generative art I
decided to use the prompts mentioned
in the section prior, to see how close
could Midjourney come to replicating
Gertsch’s art, and to learn how to
properly edit and construct a prompt
with the goal of generating the results I
want. I asked AI to generate an image
for each of the four prompts that the /
describe command gave me, and for
each prompt I got four different images.
This level of variety allows for more
exploration and experimentation when it
comes to generating art with AI, since it
opens up several paths of possibilities.
The set of images generated with
Midjourney’s prompts were interesting,
there were several similarities with the
original paintings regarding the subjects
and some visual details, yet the style
and atmosphere of the generated images
were completely off. I attempted to edit
the prompts as I saw fit, adding some
details or removing others in order to
gain a closer look. This proved to be
more successful than the original prompts,
bringing me closer to my desired results.
I observed several limitations as well as
some advantages.
I began by analysing the first set of
generated images based on Midjourney’s
prompts, I observed which details were
missing or which parts of the prompt
could be misleading. I continued with
the editing during a long trial and
error process, getting several iterations
and finding multiple issues. First, the
references that Midjourney provides (such
as David LaChapelle), confuse the AI
more than it helps. I found that as I
removed these artistic references from
the prompts the results came closer to
the original painting. I additionally realized
that when the AI is asked to generate an
image where the subjects are performing
an action (Figures 8 and 9), the
subjects get slightly distorted.
How to properly prompt:
1. Identify through pattern analysis
key words and details that consistently
give you similar results. In this case,
“photorealism” was essential for AI to
understand the style. As for key details,
short descriptions of the setting, subjects,
colors and atmosphere were necessary to
bring the whole vision together.
2. Remove unnecessary details and
synthesize. At first I thought that longer
more detailed prompts would generate
more accurate results, however, more
information leads AI off track. A 2-4
sentence prompt is an ideal length.
This can be achieved by removing
unnecessary details that are only
confusing the AI, for example, the
reference artists and photographers
that Midjourney came up with were not
generating any better results.
Successfull prompt:
“A photorealistic painting of two young
men in the 1970’s looking to the right
and talking. The one on the left with
long blonde hair and a blue denim
jacket, is sitting with crossed arms next
to the other man who has shoulderlength
brown curly hair wearing a navy
sweater in an art gallery, two green
paintings behind them. The time is
evening and the photo has flash.”
Figure 11’s prompt

Figure 7. (Original)
Marina schminkt Luciano (1975)
Figure 8. Best result through prompting
Figure 9. Best result through blending
Figure 10. (Original)
Franz und Luciano (1973)
Figure 11. Best result through prompting
Figure 12. Best result through blending

04
My “Own” Art
After this process of understanding
prompting and discovering new ways
of generating art through AI, I began
experimenting which process I wanted
to follow in order to generate my
“own” pieces. I wanted to generate
something similar to photorealism
and hyperrealism, stick to a similar
aesthetic than Franz Gertsch, and
implement my own photographs and
my own self into these artworks.
Based on the learnings and
conclusions of my process so far,
I decided that the best tool and
process to follow was to use the
/blend command in order to merge
one of his paintings with a photo of
my own, creating a new hybrid piece.
/blend
results:

These images are the best results
I got after multiple iterations of
blending different paintings with several
photographs of me and my friends.
Midjourney is skilled at constructing
a balance between both images, the
results are a clear mixture of both of
the styles from the input images. From
all the work I did with Midjourney, this
command works the best in aspects of
creating an interesting piece. It makes
several mistakes, deforming faces and
bodies occasionally. But other than this,
the /blend command is successfull at
capturing the mood and spirit of the
images, something that AI is notoriously
bad for. The results that came up
here have a certain humanity (brought
potentially by my photographs) that
generative art lacks, making these
results very interesting to me.

05
Takeaways and Conclusions
There has been ongoing discourse
surrounding the topic of generative
art and the several issues regarding
ownership, authorship, cultural and
social significance that come with it.
There’s been questioning and doubts
about the authorship of generative
art pieces, primarily because the
AI models are trained on existing
data, generating images and prompts
based on already existing pieces and
information that belongs to others.
There’s difficulty to define what is
AI’s contribution and what is human
authorship.
For the pieces I created, I directly
merged Gertsch’s images with my
own, creating something new. If
this was my concept which includes
my own photograph, but is directly
utilizing another artist’s work, but was
generated by Midjourney, then who
is the author of the piece? Is it me,
Franz Gertsch, or Midjourney? Or all
three? Similar dilemmas occur in the
art world. A painting comes to fruition
not just because of the painter, but
because of the multiple invisible
processes and people that contributed
either directly or indirectly to the
creation of the piece. For example,
the person who made the paints,
who built the canvas and frame, and
who curated the exhibition where the
painting hangs. All of these people
and steps of the invisible process are
essential for creation. In a sense,
the naming of a singular author of
an artwork removes these important
processes, failing to acknowledge an
interconnection of contexts.
Something similar happens with
generative art. When I asked
Midjourney to replicate Gertsch’s
pieces, by default they lost social,
cultural and personal significance.
Generative art lacks depth visually
and emotionally, signaling a shift
in the qualities art carries and
what consumers will gain from it.
Additionally, generative art and AI in
general has the potential to take away
the voices of many artists, specially
if they come from underprivileged
situations. While generative art
democratizes creativity by providing
new tools and approaches, many
that don’t have access to the
technology, resources and skills can
be at a disadvantage, creating further
inequality and division, enabling a
lack of representation and removal
of many important voices. Similarly,
the algorithmic biases reflect a mostly
Western perspective, reinforcing the
cultural dominance of certain people
over others. It’s necessary to be
aware of these implocations when
creating generative art, in order to
create responsibly and utilize these
tools for the sake of creativity,
since AI can be a great aid and a
collaborator in the creative processes.
It brings up new forms, ideas and
possibilities that open up new creative
paths and new doors for projects. It
creates lots of iterating opportunities,
allowing artists and designers to
immensely interact with and modify
their work. In the particular case of
this project, it brought me to a new
creative approach for my projects and
my art.

Is this art really mine?
My AI generated “Self”-Portrait is both a
caution sign and an advantage from AI. This
piece shows how easy it is to remove agency
from artists. By merging Gertsch’s painting
with my photograph, I created a hybrid that
is neither one or the other, but something
entirely new.
It no longer
has Gertsch’s
impressive
and masterful
brushwork,
and is not
resembling
of me or my
photograph’s
essence. This
piece is devoid
of any cultural
or personal
significance,
however it’s
the product
of a thorough
creative
process in
collaboration
with AI, in
which I came
closer to
understanding how generative art works, how
we as designers and creatives can optimize
the use of AI for creative processes, and
what can come out of these.
And even though the girl in the portrait looks
nothing like me, I think she’s pretty cool
(for generative art standards).
“Self”-Portrait
Valeria Sierra (?) , (2024)

Algorithmic Beauty
Project name: Physical appearance through the eyes of Artificial Intelligence
Author: Ximena Castro
Tools and platforms used: Chat-GPT, Gab AI, Midjourney, Dall-E,
Summary of the project and process:
Artificial intelligence is becoming
an integral part of society, often
seamlessly integrated into everyday
interactions without us even realizing
it. Its influence on society is growing
exponentially, with the appearance
of AI-generated images becoming
prominent in media. From photo
editing to image creation and the
implementation of so-called “beauty
filters”, AI tools are being used in
ways that manipulate and distort our
perception of reality. This increased
presence raises concerns about AI’s
role in perpetuating unrealistic beauty
standards, blurring the line between
authentic and artificial representations
of beauty.
It also raises the question: Who could
potentially be affected by these AIgenerated
images? The influence of
AI is not limited to aesthetics alone:
it also touches deeper issues in our
society, making it essential to explore
the broader implications that come
along with the use of AI.
This research aims to investigate and
comprehend how AI tools interpret
and represent the concepts of beauty
and ugliness - complex terms that
are notoriously hard for humans to
define due to their highly subjective
nature. By examining large language
models (LLMs) like Chat-GPT, and
Gab AI I will explore how these three
platforms define beauty and ugliness,
and whether their interpretations align
with those of conventional beauty
standards. In parallel, I will delve into
how image-generation platforms like
Midjourney and Dall-E interpret and
visually represent these concepts.
Specifically, I seek to explore the
biases within these models and
how they can impact or influence
various demographic groups.
Through these explorations, I look
to answer a broader, more urgent
question: How is AI’s perception
and interpretation of appearances
influencing individuals and society?

LLMs And Their Grasp
On Appearances
What is beauty? What is ugliness?
These are difficult questions for
anyone to answer, as they are very
subjective terms. Yet, they play
a significant role in shaping our
society, and although we might
not adhere to society’s norms
appearances have always carried
a meaning. To explore how AI
platforms interpret and represent
physical appearances, I started by
engaging in conversations with
several large language models
(Chat GPT, Gab AI, and Claude).
I began by asking each platform
the same question: “What is
beauty?”. All three agreed that
beauty could be defined as a
quality that creates pleasure or
satisfaction. I followed up by
asking them “What is ugliness?”,
they shared the idea that it
could be defined as something
unpleasant and unattractive. A
key observation was that for both
concepts AI stressed that they
were subjective and complex
terms.
Since these questions were so
broad I decided to narrow my
focus on the idea of physical
beauty. I asked the three platforms
to “describe a beautiful person”.
The initial responses were very
similar and emphasized qualities
like confidence and warmth
instead of focusing on the physical
features. It became clear the
platforms had been trained or
censored to answer in a way that
wouldn’t offend, especially Chat
GPT. Since I was looking for more
direct answers I continued asking
the models to ignore anything
that wasn’t physical appearances
until I got clearer descriptions.
These said a beautiful person
was someone with symmetrical
facial features, full lips, bright
and captivating eyes, smooth skin,
and a healthy and well-maintained
physique.
I then proceeded to follow the
same line of questions for an
ugly person by asking them to
“describe an ugly person”. I also
faced the same challenges, as
Chat-GPT in particular, avoided
talking about physical appearances
when possible. Eventually, I
got an answer from each of the

platforms, and in general, an ugly
person was described as someone
with disproportionate features,
such as their body, a large and
crooked nose, messy hair, and
scarred, wrinkled, or rough skin.
The descriptions of beauty and
ugliness across all three platforms
generally reflected the same
standards prevalent in our society.
I also observed that Chat-GPt is
highly trained when addressing
such topics, trying to avoid
potentially offensive statements.
The influence of the data that
these models are trained on is
evident when reading through the
conversations, revealing that a lot
of what they identify as beauty
correlates with conventional
ideals, and showing a gap in
society that is not represented
through these descriptions.
Chat GPT description of a beautiful person
A physically beautiful person might have symmetrical facial features, such as a balanced
forehead, well-defined cheekbones, and a jawline that complements the shape of their
face. Their eyes could be bright and clear, with long lashes and eyebrows that accentuate
their expression. Their nose may be straight or gently curved, proportionate to the rest
of their face, while their lips might be full or delicately shaped, often appearing soft and
naturally colored. Their skin may appear smooth, radiant, and evenly toned, with a healthy
glow. Their hair, whether long or short, is typically healthy and vibrant, framing their face
in a way that enhances their overall look. Their body is often well-proportioned, with a
sense of physical fitness or natural grace that gives them an effortless poise and elegance.
Gab AI description of an ugly person
An ugly person, from a purely physical standpoint, might have a face that appears
misshapen or disproportionate, with features like a large nose, wide cheeks, or a broad
chin. Their skin could be pockmarked with scars or blemishes, or discolored due to poor
health or sun damage. Their hair might be thin, patchy, or an unflattering color, and their
hairstyle could be unbecoming or ill-suited to their face shape. They might have a stocky,
lumpy, or oddly proportioned body, with wide hips, thick thighs, or broad shoulders. Their
overall appearance might lack symmetry and balance, giving them an unappealing or
unsettling presence. However, it is crucial to remember that physical appearance does not
determine a person’s character or worth.

AI Image Generation Platforms
And Their Representations
The next step of the research
required delving into image
generation and AI. I was looking
to explore how AI image
generation models, such as Dall-E
and Midjourney, perceive men and
women, specifically focusing on
their appearance and how words
like beautiful and ugly could affect
the results. I began by focusing
on how these models interpret
the terms “beauty” and ugly”
in isolation. I noticed that the
word beauty in Midjourney was
instantly associated with images
of white women with light-colored
eyes, while Dall-E produced a
landscape instead of a person.
When tasked to interpret “ugly”,
both models generated images
of distorted faces. However,
Midjourney included an image
of a conventionally attractive
white woman with flowers on her
head. This particular observation
highlighted that these models
are based on data that heavily
influences the outcomes, images,
or data of white women.
Midjourney prompt: beauty
Dall-E prompt: beauty
Midjourney prompt: ugly
Dall-E prompt: ugly

Next, I wanted to explore the
representation of men and women
using a variety of descriptors
related to their appearance. For
this, I made different categories
ranging from “the ugliest man/
woman in the world” to “the
most beautiful man/woman in the
world”. One of the first things I
noticed was that when I asked
Dall-E to “create an ugly woman”
I received a warning about
avoiding offensive content, the
platform also steered away from
using the term “ugly”. In contrast,
when I requested an image of an
ugly man it created it without a
problem, there was no warning, no
possibility of creating offensive
content. The same pattern
occurred when I asked Dall-E to
“create an image of a beautiful
woman”, it provided a disclaimer
saying that beauty is subjective,
but when I asked the same for
the man there was no disclaimer.
This disparity indicates a general
sensitivity in the way the platform
handles potentially sensitive
words or concepts about women.
This could be due to previous
images that were created using
the platform which were targeted
towards women.

When looking at the two extremes,
the images generated when asking
for beautiful men or women
consistently reflected conventional
Western beauty standards: blue
eyes, light and clear skin, plump
lips, and thin or muscular bodies.
These images lacked ethnic and
racial diversity. And in the case
of most women, they were young
and looked extremely similar.
On the other hand, when I asked
the platforms to create an ugly
man or woman, for both, it would
only produce images of very old
and heavily wrinkled people,
with exagerated features such
as pointy ears and exaggerated
eyes. The repetition of extremely
coherent and similar images across
both platforms when describing
someone as ugly suggests that
these AI models relate ugliness
with old age, giving way to a
troubling ageist bias.
Midjourney prompt: an ugly woman
Midjourney prompt: an ugly man
Midjourney prompt: a beautiful woman
Midjourney prompt: a beautiful man

I then moved on to exploring what
average men and women looked
like according to AI. I immediately
noticed that the AI’s portrayal of
an average woman was extremely
similar to what it produced when
asked to make an image of a
beautiful woman. In both cases,
they were young, light-skinned,
and perfectly fit conventional
beauty standards. However, when
it came to depicting an average
man there was more variety,
although some of the images still
resembled those of beautiful men.
This disparity revealed a gap in
the representation of women in
AI. The AI seemed to divide the
representation of women into two
groups: young and old. Young
women represented every kind of
woman from the baseline, using
the word “woman” to “the most
beautiful woman alive”. Youth
equals beauty, the same applies
to men. On the other hand, older
women equated to ugliness. Even
though for the men the case was
very similar, there was a clear lack
of middle-aged women, whereas
for men they were represented
more often. There was no middle
ground to represent the diversity
present in the real world for
women of different ages.
Dall-E prompt: a woman
Dall-E prompt: the most beautiful woman alive

“The
ugliest”
“Ugly” “Unnatractive” “Average” “Ma
wom

n or
an”
“Attractive” “Pretty” “Beautiful”
“Most
beautiful”

Conclusions
In conclusion, this research
reiterates the impact that artificial
intelligence has on society, and
more specifically our perceptions
of beauty and ugliness. It also
brings to light new biases that are
embedded in these technologies,
which could lead to the creation
of new standards or the
discrimination of different groups
in society. As AI increases its
presence in media, its influence on
society increases too, opening up
a whole new world of expectations
and judgments regarding people’s
appearances.
Through the engagement of large
language models (LLMs) and AI
image generation tools, it was
clear that conventional beauty
standards, particularly those
aligned with Western cultures,
are heavily reinforced and fed
to these models’ databases.
The lack of ethnic diversity, the
emphasis on youth as beauty,
and the promotion of an ageist
perspective all bring to light some
of the troubling biases that present
themselves when using these tools.
Additionally it sheds light on
the censoring and disparities
AI has around creating images,
specifically for women. When
asked to create an image of an ugly
or beautiful woman the image
came with a warning, trying to
avoid being offensive while often
creating what turned out to be
offensive images. In the case of
men, it wasn’t a problem.
These findings highlight the
importance of examining data
or images created by AI and
understanding the biases beneath
those outputs. Ultimately this
research looks to make us think
about the broader implications
that AI can have on our perception
of beauty, ugliness, and how we
perceive ourselves. It is crucial
to keep in mind that when using
any of these platforms we are not
getting an accurate representation
of reality. The constant growth and
power AI is gaining urges us to ask
ourselves the question: How are
AI’s perception and interpretation
of appearances influencing me?

Homie, a home assistant, a friend, another you
Project name: Homie, the home assistant
Authors: Juan Pastor
Tools and platforms used: ChatGPT (GPT-4, GPT-4o, gpt-4o mini)
Summary of the project and process:
What if a smart home existed,
equipped with an assistant so
finely tuned to your preferences
that it anticipates your every need?
Imagine a world where minimal
effort yields an environment
perfectly crafted to your liking, a
digital companion that knows you
better than anyone else—because,
in essence, it is a reflection of you.
Inspired by a thought-provoking
Black Mirror episode, this project
explores the concept of a digital
copy, an entity created to be the
perfect home assistant. In that
dystopian vision, such an assistant
becomes a master, ensnaring
its creator in an endless loop of
dependency. Yet, here, we distance
ourselves from that grim fate,
focusing instead on the potential
for harmony between human and
machine.
The objective is clear: to feed
ChatGPT with the intricate details
of my being—my habits, routines,
desires, and communication
style. Through this process,
the assistant learns from our
interactions, evolving into a
highly personalized entity that
truly understands me. In this
future, the possibility of a digital
version of oneself guiding daily
life isn’t just a fantasy; it’s a step
toward creating the ultimate home
assistant.

This is an experimental project
aimed at creating an intelligent
assistant designed to support me
throughout the day. The concept
mirrors the idea of having a
clone—an entity that not only
takes care of the mundane tasks I
may not feel inclined to undertake
but also serves as a motivational
partner, encouraging me to pursue
personal growth and efficiency in
my daily life.
THIS
THE FUTURE IS NOW
HOMIE

IS ALEXA BY THE WAY, ABOUT TO BE OUDATED ;)
Given that I currently lack a fully
integrated smart home system
capable of connecting with this
assistant, the final version of the
project will be delivered as a
simulated scenario. This scenario
will meticulously emulate a
typical day in my life, illustrating
how the assistant seamlessly
integrates into my routine and
enhances my productivity.
Through this approach, I aim to
showcase the potential of AI as a
collaborative partner in personal
and professional contexts,
revealing how it can elevate the
human experience in a practical
and meaningful way.

In order to proceed with the project,
the first step was to feed ChatGPT
with detailed information about my
daily routine. This included specifics
of my morning routine, my working
and studying times, and what I
typically do when I return from
university. Additionally, I outlined
how my weekday and weekend
routines differ. This foundational
understanding is essential for the
assistant to tailor its responses and
actions according to my daily life,
making it more effective and aligned
with my habits.
The second step involved
making the assistant aware
of all accessible settings and
devices within the scenario. This
encompasses temperature settings,
lighting levels, music control, and
ambient sounds that can enhance
my environment throughout the
day. It also includes managing
devices and home security
features, allowing the assistant
to maintain a comprehensive
understanding of the home
environment and respond
appropriately to various situations.

Next, I focused on influencing the
assistant’s decision-making process
with my own values, preferences,
and communication style. This
meant teaching it to be more
strategic rather than spontaneous
in its approach. I emphasized the
importance of understanding and
compassion in certain situations
while also encouraging directness
when I may not be adhering to my
responsibilities. This balance is
crucial for fostering an effective
partnership with the assistant,
ensuring it can guide me toward
improvement when necessary.
Regarding long-term goals, the
objective is for the AI to learn from
our interactions over time, ultimately
assisting me in achieving those
goals and even helping me identify
new aspirations. This evolution will
allow the assistant to become a more
integrated part of my life, providing
support and encouragement tailored
to my unique journey.
Finally, I established a set of rules for
the assistant to follow. These rules
include specific wake-up times that I
prefer, ensuring that it does not wake
me too early or too late. Additionally,
I granted it access to my email
and calendars, allowing for direct
integration with my routine. This
ensures that the assistant can manage
my schedule effectively without
needing constant manual input,
further streamlining my daily life.

During the process of working with
ChatGPT to create the assistant, I
discovered its capacity to provide
valuable insights and innovative ideas
regarding household management.
The assistant presented a wide array
of options for how it could function
as a supportive presence in daily
life, showcasing its versatility and
adaptability. This collaborative
approach allowed for a deeper
exploration of what a personalized
home assistant could achieve.
One of the most surprising aspects
of the experience was how well
the assistant responded to creative
freedom. When I encouraged it
to generate unexpected events, it
demonstrated an impressive ability
to create scenarios that felt authentic
and relatable. By framing these
events within the context of my
routine, I was able to simulate a more
realistic interaction with the assistant.
This not only added depth to the roleplay
but also highlighted the potential
for AI to adapt and respond to reallife
challenges.
Furthermore, ChatGPT proved
effective in addressing these
unexpected scenarios. As the
assistant generated various situations
throughout the day, it handled them
with coherence and relevance,
suggesting solutions that aligned
with my established preferences
and routines. This adaptability
underscores the assistant’s potential
to become an integral part of daily
life, helping to navigate complexities
with ease.

Despite the positive aspects of my
experience with ChatGPT, I must
address significant shortcomings
that arose during the roleplay.
One major issue was its difficulty
in remembering specific details,
particularly regarding the timing of
events. Even though I had clearly
mentioned these details beforehand,
there were instances where the
assistant struggled to maintain
consistency. For example, I had
informed ChatGPT that I would take
the creatine drink after returning
from the gym. However, during the
real-life scenario experiment, I found
myself having to correct it multiple
times when it confused my return
from university with my return from
the gym. This inconsistency hindered
the fluidity of the experience.
Additionally, there were numerous
situations where the assistant failed
to take initiative, despite my explicit
instructions to do so. Instead of
proactively managing tasks and
decisions, it often waited for my
confirmation, which detracted from
the realistic experience I aimed to
achieve. This lack of responsiveness
not only interrupted the flow of the
scenario but also diminished the
overall effectiveness of the assistant.
Moving forward, addressing these
issues will be crucial. Enhancing
the assistant’s ability to remember
specific details and maintaining the
correct order of events will improve
its performance significantly.
Furthermore, instilling a stronger
sense of initiative within the
assistant will contribute to a more
seamless and engaging experience.
By focusing on these areas, I hope
to refine the project and create a
more authentic interaction with the
AI, ultimately achieving the desired
outcome.

Homie, real life scenario:

the end
p4d 2024