Recent Events:

The normative implications of algorithmic decision-making are currently generating lively debate in multiple academic disciplines, such as applied ethics and computer science (especially in the emerging subdiscipline of FAT*ML: fairness, accountability and transparency in machine learning). By contrast, political philosophers—including democratic theorists— have engaged with the subject of algorithmic decision-making much less. This is surprising, given that algorithmic tools, as they are used here and now, seem to raise complex new questions for long-standing debates in political philosophy: on equality, justice, discrimination, autonomy, accountability, responsibility, and power. As democratic institutions themselves increasingly rely on algorithmic tools in criminal justice, in law enforcement, and in decision-making about the allocation of resources and benefits, these questions become even more pressing. This workshop aims to bring together political philosophers interested in exploring the democratic implications of algorithmic tools.

Speakers: Renée Bolinger (Princeton University), Thomas Christiano (University of Arizona), Gabbrielle Johnson (New York University), Deborah Hellman (University of Virginia), Rob Reich (Stanford University), Regina Rini (York University), Kate Vredenburgh (Stanford University), Ari Waldman (New York Law School), Annette Zimmermann (Princeton University)

CITP/UN Conference – Social Protection by Artificial Intelligence: Decoding Human Rights in a Digital Age – April 12, 2019

Berkman Klein Center (BKC), MIT Media Lab, and Princeton Dialogues on AI and Ethics Special Event: “Workshop on AI and Ethics” – November 8-9, 2018

“AI Ethics: New Frontiers or Bioethics Revisited” – October 18-19th, 2018

“AI & Ethics Mini-Retreat: Taking Stock of the Ethics Side” – April 30th, 2018

“UCHV/CITP Conference on Ethics and AI” – March 10th, 2018

“UCHV/CITP Workshop on Ethics and AI” – March 9th, 2018

“Artificial Intelligence – Data as a Mirror of Society: Lessons from the Emerging Science of Bias in Machine Learning,” Arvind Narayanan (Princeton, CS); Desmond Jagmohan (Princeton, Politics) (discussant) – December 5th, 2017

“UCHV/CITP Workshop on Ethics and AI” – October 6th, 2017