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Whose Knowledge Counts? Exploring Epistemic Injustice in Medical AI

11 Mar 2025 16:00 - 18:00
Who is the most credible source of personal medical information—the patient sharing their personal experience or the medical AI system fed with digital metrics and parameters? And whose advice should a patient follow—that of the physician who knows them personally or that of an automated AI system trained on more data than their doctor? Could AI systems in medical decision-making undermine the credibility of both patients and physicians?

Practical information:

11 Mar 2025 16:00 - 18:00
Library Labs - Rozier 44, 9000 Gent
English
Target audience: healthcare providers

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Programme

In this lecture, we invite Giorgia Pozzi (TU Delft), who addresses these questions through the concept of epistemic injustice. This concept has inaugurated a new research area in AI ethics and medicine that seeks to identify epistemically unjust ways of conceiving illness, treating individuals, and allocating healthcare.

After Pozzi's introductory lecture, an interdisciplinary panel of scholars, including Jonathan Adams (ethics), Veronique Hoste (natural language processing) and Sofia Palmieri (law), will exchange ideas about AI in the healthcare landscape and the relevance of epistemic injustice (moderation by Heidi Mertes).

Learning goals

After this lecture: the participants can identify and critically analyse ethical questions related to epistemic injustices in the healthcare setting

Teachers/speakers

Giorgia Pozzi

Dr. Giorgia Pozzi is a postdoctoral researcher at Delft University of Technology. She studied philosophy at LMU Munich before moving to Delft for her PhD research, which she concluded in April 2024. She works on the intersection between the ethics and epistemology of artificial intelligence (AI) in medicine and healthcare. She has a particular interest in tackling forms of epistemic injustice emerging due to the integration of AI systems in medical practice. More generally, she is interested in topics related to bioethics, epistemology, and the philosophy of science and their cross-overs in connection with novel challenges raised by AI systems.

Jonathan Adams

Jonathan Adams is a PhD researcher at the Centre for Medical Ethics, University of Oslo, who is currently visiting the Bioethics Institute Ghent for a three-month research stay. His doctoral work focuses on the ethical and epistemic implications of artificial intelligence in healthcare and involves actively collaborating with colleagues from the fields of law, computer science, and clinical medicine. So far, this has included publishing articles in Medicine, Health Care and Philosophy and AI and Ethics. Prior to starting his PhD, Jonathan received an MSc in Bioethics & Society from King’s College London (2022) and a BA in Philosophy and Theology from the University of Oxford (2020).

Veronique Hoste

Veronique Hoste is Senior Full Professor of Computational Linguistics at the Faculty of Arts and Philisophy at Ghent University. She is department head of the Department of Translation, Interpreting and Communication and director of the LT3 language and translation team at the same department. She holds a PhD in computational linguistics from the University of Antwerp (Belgium) on "Optimization issues in machine learning of coreference resolution" (2005).

Natural language processing in the last decades has drastically shifted from a discipline in which linguistic rules were handcrafted by experts to a vibrant discipline heavily dominated by machine learning and more recently, end-to-end neural approaches. Véronique has a strong track record in combining linguistic expertise with machine learning of natural language, seeking to automatically model natural language up to the level of semantics and discourse in a wide range of applications, such as cyberbully detection or sentiment and emotion analysis.

Sofia Palmieri

Sofia Palmieri is a FWO Junior Postdoctoral Fellow at Ghent University and Healthcare AI Policy and Compliance Officer at the European Institute for Innovation through Health Data (i~HD). Her research is positioned at a crossroads between legal, ethics, AI and healthcare. She investigates the perimeter of regulation for the safe, patient-centred and evidence-based use of Artificial Intelligence in the medical field. After receiving a Master's Degree in Law (magna cum laude) from the University of Bologna, she specialized in Ethics and Life Science at the same Alma Mater. She spent a period of research both at Paris Nanterre University and at KU Leuven. She also joined AI4Health as a member of the core team. Recently, she started as co-chair of the Young Scholar Interest Group of the European Association of Health Law.

Heidi Mertes

Heidi Mertes is professor in de medische ethiek, verbonden aan de onderzoeksgroepen Bioethics Institute Ghent en Metamedica aan de Universiteit Gent. Haar onderzoek spitst zich toe op ethische bezorgdheden in de context van medisch geassisteerde voortplanting, genetica, onderzoek op embryo’s en sinds kort ook op de impact van nieuwe technologieën in de gezondheidszorg, gaande van de evoluerende arts-patiëntrelatie tot dataveiligheid en privacy in tijden van AI en big data.

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