Title: Thinking Through Responsibilities in AI-Driven Healthcare
Abstract: Artificial intelligence (AI) increasingly shapes healthcare practice, influencing clinical decision-making, access to care and the organisation of health systems. These developments complicate how responsibility is understood, particularly when harms arise through distributed socio-technical processes rather than individual fault. This dissertation examines how responsibility operates in AI-driven healthcare. It argues that individualistic and attribution focused conceptualisations of responsibility fail to capture how AI-related harms are produced through institutional structures, data practices, design choices, and regulatory conditions. Across different healthcare contexts, responsibility is shaped by actors’ power, positions, and involvement within these systems. Against this background, the dissertation develops a plural conceptualisation of responsibility in AI-driven healthcare, in which responsibilities are structural, differentiated, collective, forward-looking, epistemic, and relational. They extend beyond attribution after harm toward practices of prevention, responsiveness, and justice across the AI lifecycle. The dissertation concludes that responsibilities in AI-driven healthcare are redistributed across socio-technical systems. Ethical analysis and governance must therefore attend to how responsibilities are structured and enacted in practice, rather than focusing solely on individual accountability.
Jury-members:
- Dr. Cornelius Ewuoso (University of the Witwatersrand, Johannesburg)
- Prof. dr. Karin Jongsma (University Medical Center Utrecht)
- Prof. dr. Tom Goffin (Ghent University)
- Prof. dr. Sigrid Sterckx (Ghent University)
When: 31 March 2026, 15: 00 to 17: 00 (online or in-person)
Where: Lokaal 0.8, Campus Boekentoren (Entrance via Sint-Hubertusstraat 8).
Please confirm your attendance by 16 March using the Google Forms link. A Microsoft Teams link will be sent closer to the date to those attending online.
Link: https://forms.gle/zksHcnfgJ4xypk877