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DTSTAMP:20261017T162312Z
SUMMARY:Artificial Intelligence and Discrimination Risks in the Health Sect
 or
DESCRIPTION:Risks of discrimination related to the use of artificial intell
 igence (AI) and automated decision-making are already well-documented in s
 everal domains\, including policing\, hiring\, loans\, and benefit fraud d
 etection. In the past year\, a number of cases have indicated that the hea
 lth and medical sector are not immune to the discriminatory effects of AI.
  Studies have shown that algorithms widely used across hospitals and healt
 h systems to guide patient care\, on everything from heart surgery and kid
 ney care\, to cesarean birth and prioritizing patients following the backl
 og of appointments caused by coronavirus\, can be racially and culturally 
 biased\, and can exacerbate existing health inequalities. • In this pane
 l we will discuss the risks of bias\, AI-driven discrimination\, and unfai
 r differentiation in the health sector. Is there something specific to dis
 crimination risks in the health sector? • Are the trade-offs between the
  benefits and risks of AI different in this sector as opposed to other sec
 tors? • Is there a health sector-specific notion of fairness? If so\, ar
 e sector-specific rules needed for AI in health? • Should legal protecti
 on against AI-driven discrimination and unfair differentiation be improved
  and who should attend to this: non-discrimination scholars or bioethicist
 s? 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. Moderat
 or: Frederik Zuiderveen Borgesius iHub &amp\; iCIS Institute for Computing
  and Information Sciences\, Radboud University Nijmegen (NL) Speakers: Min
 na Ruckenstein Tena Šimonović Einwalter Equinet (HR) Carlos Castillo Uni
 versitat Pompeu Fabra (ES) Tamar Sharon iHub\, Radboud University Nijmegen
  (NL)
DTSTART;TZID=Europe/Berlin:20210129T171500
DTEND;TZID=Europe/Berlin:20210129T183000
LOCATION: \, Brüssel (Belgien) 
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DESCRIPTION:Artificial Intelligence and Discrimination Risks in the Health 
 Sector
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