Algorithmic discrimination and fairness: Reducing the gap between the legal and technical? | Gerald R. Ford School of Public Policy
Type: Public event

Algorithmic discrimination and fairness: Reducing the gap between the legal and technical?

Hosted by the Berkman Klein Center for Internet & Society at Harvard University

Date & time

Dec 6, 2022, 12:30 pm EST

Location

This is a Virtual Event.

There is a vast body of legal and technical literature focused on what fairness means in the context of algorithms and how fairness can be measured. This panel will explore the issues in dispute and focus on the challenges yet to be solved. It is a unique opportunity to overcome challenges for interdisciplinary researchers and provide attendees with the tools and knowledge necessary to communicate across disciplines effectively, especially (aspiring) lawyers, policymakers, and technologists who seek to better engage with questions of fair algorithms.

In-person attendance is limited to members of the Harvard community with active IDs. Members of the public can register for the virtual event.

Speakers

  • Prof. Deborah Hellman- Visiting Professor of Law at HLS; Professor of Law at University of Virginia
  • Prof. Hima Lakkaraju- Assistant Professor at Harvard University with appointments in the Business School and the Department of Computer Science
  • Prof. Ben Green- BKC Affiliate; Postdoctoral scholar in the Michigan Society of Fellows; Assistant Professor in the Gerald R. Ford School of Public Policy
  • Moderated by Holli Sargeant, Doctoral exchange at HLS; PhD Candidate in Law at University of Cambridge
  • Introduction by Professor Jonathan Zittrain, George Bemis Professor of International Law and Professor of Computer Science, Harvard University; Co-founder & Director of the Berkman Klein Center for Internet & Society

Contact / more information

This is an external event featuring a member of the Ford School faculty. For more information, please contact the event hosts at the Berkman Klein Center.