Clout Culture - Youth Cultures in Changing Societes Conference

demonstrated repetition in themes (e.g., architecture, food, nature) and modality,
particularly using static photographs and similar poses/angles. Hence, these
findings highlight the contradiction between Instagram Stories' capability to
accommodate varied multimedia content and the participants' adoption of
repetitive models that are popular on the platform.
HOW FUTURE DOCTORS SEE ARTIFICIAL INTELLIGENCE –
HUNGARIAN MEDICAL STUDENTS‘ ATTITUDES TOWARDS
ARTIFICIAL INTELLIGENCE
CSILLA KRISTÓF-CSÁKI (CORVINUS UNIVERSITY OF BUDAPEST, MARKETING AND
COMMUNICATION SCIENCES)
Abstract
The doctors of the future are members of Generation Z and their digital skills
can give them a competitive edge over their older colleagues. There have
been changes in the traditionally authoritarian system, the so-called
deprofessionalisation, driven, according to Gaal (2016), by the fear that
doctors will lose their former status and that their asymmetric relationship
with patients will become more balanced due to wider access to information.
One of the primary areas of technological development of artificial
intelligence (AI) is healthcare, so it is important to explore the attitudes of
future physicians towards AI in order to predict potential changes in the
patient-physician-AI relationship. My exploratory research uses a version of
Songhee Oh et al.'s (2019) questionnaire adapted to Hungarian conditions to
investigate the cognitive, affective, conative and collective attitudes of 18-25
year old Hungarian medical students, with a focus on possible AI
developmental directions and risk factors.
My results show that medical students' and residents' attitudes towards AI
were found to be quite negative, which may be due to the self-protective
function of the attitude, as they are concerned about the presence of AI
threatening medical authority. They also insist on the practice of paternalistic
style decision making when it comes to its application in diagnostics, and have
more confidence in empirical medical knowledge than in an AI-based
technology. They see the use of AI as useful in reducing time pressure,
evaluating large data sets, but it is not flexible enough, does not treat patients
individually enough, and does not recognise unusual symptom complexities.
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WORLD CAFÉ DISCUSSION