Abstract
The purpose of my research is to analyze how the use of artificial intelligence in healthcare can affect the ethical, epistemological and praxeological implications of patient and public involvement and engagement (PPIE). As for the methodology of my research, I have selected the Science, Technology and Society (STS) qualitative approach, which I consider the most suitable for studying the various forms of democratizing science and the different concepts and dimensions of science culture. The rise of PPIE is a clear indication that post-normal science has also crossed the barriers of medicine. Today’s clinical contemporary culture, governed by signs and extreme specialization, demands an “extended peer community”, a community where medical research, diagnosis and treatment is not only carried out by experts, but also by users of technological products, patients, their relatives, and all other population members affected by the risks at stake. This type of “citizen science” could provide the global and contextual perspective that is very much needed for guaranteeing the quality of medical knowledge and clinical decision making in these post-normal times, besieged by dubious facts, conflicts of interest and scenarios of urgency. Regarding AI, the main problem discussed here is if and how AI could strengthen or weaken the ethical, epistemological and praxeological values of PPIE. As a language model, AI algorithms could play a mediating role between patients and specialized medical knowledge. However, it could also jeopardize personalized interaction with patients, by depriving medical practice of values such as prudence and the deliberation of particular circumstances.
Presenters
Maria Alejandra Rivas CarreroPredoctoral Fellow, Department of Philosophy, Logic and Aesthetics, Universidad de Salamanca, Salamanca, Spain
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
2025 Special Focus—Emotional vs Artificial Intelligence: A Paradigm Shift in Healthcare?
KEYWORDS
Artificial Intelligence, Post-Normal Science, Science Democratization, Healthcare, Patient Engagement
