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OUR WORLD - Perspectives on Artificial Intelligence

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PERSPECTIVES ON ARTIFICIAL INTELLIGENCE<br />

Digital Rights in the Age<br />

of Super <strong>Intelligence</strong><br />

By Eva Kaili<br />

Eva Kaili<br />

Member of the<br />

European Parliament<br />

from Greece (S&D),<br />

Chair of the Panel for<br />

the Future of Science<br />

and Technology<br />

(STOA), Member of the<br />

Committee <strong>on</strong> Industry,<br />

Research and Energy,<br />

Substitute Member of<br />

the Special Committee<br />

<strong>on</strong> <strong>Artificial</strong> <strong>Intelligence</strong><br />

in a Digital Age<br />

In our transforming world, digital technology<br />

has the critical mass to push our fr<strong>on</strong>tiers and<br />

release unlimited potential. As the wave of digital<br />

transformati<strong>on</strong> soars high, improving our lives,<br />

industries and ec<strong>on</strong>omies, we must not overlook<br />

the risks that technologies and innovati<strong>on</strong>s pose<br />

<strong>on</strong> the fairness and cohesi<strong>on</strong> of our societies, and<br />

our rights as European citizens.<br />

Through the c<strong>on</strong>structi<strong>on</strong> of vast digital<br />

infrastructures, which track, m<strong>on</strong>itor and collect<br />

pers<strong>on</strong>al data at scale, major <strong>on</strong>line platforms<br />

are commodifying our data. An entire ecosystem<br />

of apps and companies c<strong>on</strong>trols huge data flows<br />

and ‘treats’ technology users as data suppliers via<br />

the impositi<strong>on</strong> of default choice architectures.<br />

The current form of ‘computati<strong>on</strong>al governance’<br />

in which we are ruled by algorithms and predictive<br />

analytics which make use and trade of individual<br />

human experiences to produce predicti<strong>on</strong>s<br />

of human behaviour has largely remained<br />

unregulated. We can still be in c<strong>on</strong>trol of safe AI,<br />

trustworthy and complimentary to humans.<br />

AI is at the core of this wave of digitisati<strong>on</strong>;<br />

the power it carries must be tamed before it is<br />

unleashed in its next form of super intelligence.<br />

Manifested in both software and hardware<br />

with intelligence expressed in lines of code and<br />

powerful automati<strong>on</strong>, it is already being used to<br />

solve complex problems, discover patterns or<br />

predict traffic, and make suggesti<strong>on</strong>s to users. AI<br />

is also tested for completely aut<strong>on</strong>omous vehicles,<br />

as deep machine learning could make decisi<strong>on</strong>s<br />

faster, safer and better than people. Progress<br />

remains incremental, however the more we<br />

advance our understanding and the further we<br />

develop this technology, the closer we reach the<br />

point where AI leaps from narrow to general,<br />

and then super intelligence. Narrow AI is already<br />

making simple suggesti<strong>on</strong>s and decisi<strong>on</strong>s at the<br />

service of people; however, the next level of AI<br />

sophisticati<strong>on</strong> can completely omit humans from<br />

the process and reach levels that humans will not<br />

be capable to understand or c<strong>on</strong>trol anymore.<br />

As most of human activity and industry has<br />

moved <strong>on</strong>line during the pandemic, and we<br />

become more dependent <strong>on</strong> an increasing amount<br />

of digital services, a series of critical questi<strong>on</strong>s<br />

arise: How can we build data infrastructures that<br />

recognise the role of data as a public good? Can<br />

we foresee an impartial system of data governance<br />

that could rec<strong>on</strong>cile the ast<strong>on</strong>ishing potential of<br />

these technologies with their significant human<br />

downsides? Do we as citizens know that when we<br />

use a search engine to find something <strong>on</strong>line, the<br />

engine is learning by searching us as well? Does the<br />

collecti<strong>on</strong> and processing of behavioural data by<br />

these technology platforms threaten to dismantle<br />

democracy and undermine the rule of law?<br />

To tackle these questi<strong>on</strong>s we need to come up<br />

with novel, innovative resp<strong>on</strong>ses, so that we make<br />

our future better than the grim outlook predicted in<br />

Black Mirror, the popular Netflix series. We have to<br />

be aware and cautious in designing the appropriate<br />

framework for AI; intelligent systems are used <strong>on</strong><br />

the pandemic fr<strong>on</strong>t for rapid COVID diagnosis<br />

and prognosis based <strong>on</strong> AI-enabled CT scanning<br />

analysis. AI systems are used now to upgrade our<br />

mapping systems, the management of resources,<br />

to make our mobility smarter, our agriculture more<br />

precise, with predictive maintenance and smart<br />

sensors that can c<strong>on</strong>tribute to a greener future,<br />

saving time, energy, and resources.<br />

As the impact of exp<strong>on</strong>ential technologies<br />

grows, a new framework is needed in Europe to<br />

harness its benefits and mitigate its risks. This<br />

framework must be built <strong>on</strong> ethical principles and<br />

binding standards, which elevate people’s trust in<br />

AI and ensure that in the digital age, people co-exist<br />

with intelligent systems without fearing exclusi<strong>on</strong>,<br />

manipulati<strong>on</strong>, oppressi<strong>on</strong> or discriminati<strong>on</strong>.<br />

20 January 2021 | <str<strong>on</strong>g>OUR</str<strong>on</strong>g> <str<strong>on</strong>g>WORLD</str<strong>on</strong>g>

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