Artificial Intelligence and Discrimination Risks in the Health Sector
01/29/2021 5:15 PM - 6:30 PM in Brüssel (Belgien)
Risks of discrimination related to the use of artificial intelligence (AI) and automated decision-making are already well-documented in several domains, including policing, hiring, loans, and benefit fraud detection. In the past year, a number of cases have indicated that the health and medical sector are not immune to the discriminatory effects of AI. Studies have shown that algorithms widely used across hospitals and health systems to guide patient care, on everything from heart surgery and kidney care, to cesarean birth and prioritizing patients following the backlog of appointments caused by coronavirus, can be racially and culturally biased, and can exacerbate existing health inequalities.
• In this panel we will discuss the risks of bias, AI-driven discrimination, and unfair differentiation in the health sector. Is there something specific to discrimination risks in the health sector?
• Are the trade-offs between the benefits and risks of AI different in this sector as opposed to other sectors?
• Is there a health sector-specific notion of fairness? If so, are sector-specific rules needed for AI in health?
• Should legal protection against AI-driven discrimination and unfair differentiation be improved and who should attend to this: non-discrimination scholars or bioethicists?
We aim for a lively discussion panel: no presentations and no slides, but a discussion among the panelists and with the audience. The panel will be made up of experts from different disciplines and backgrounds.
Moderator:
Frederik Zuiderveen Borgesius iHub & iCIS Institute for Computing and Information Sciences, Radboud University Nijmegen (NL)
Speakers:
Minna Ruckenstein Tena Šimonović Einwalter Equinet (HR)
Carlos Castillo Universitat Pompeu Fabra (ES)
Tamar Sharon iHub, Radboud University Nijmegen (NL)