Home » Événements » Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning  and Law

Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning  and Law

Speaker : Philipp HACKER (European University Viadrina, European New School of Digital Studies, Frankfurt/Oder)

The Interdisciplinary Seminar ‘Algorithms and Society’ (ISAS) focuses on the societal, legal, political and economic issues related to the development of algorithmic decisions. It aims at confronting the perspectives brought by the different specialists, by emphasizing the definitions of the key concepts and by supporting the interdisciplinary exchanges between social sciences, data science and artificial intelligence specialists.

Link to the Visioconference:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_MDdmZjE3M2QtMzU2Mi00ODI3LWIyMzYtMjgxMzM3NGY3NWRi%40thread.v2/0?context=%7b%22Tid%22%3a%2281e7c4de-26c9-4531-b076-b70e2d75966e%22%2c%22Oid%22%3a%22ba099426-2c01-4e1f-a5c8-5acfe04ce994%22%7d

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