Simons Collaboration on the Theory of Algorithmic Fairness Annual Meeting 2022
February 3 - 4, 2022
Gerald D. Fischbach Auditorium
160 5th Ave
New York, NY 10010 United States
Thurs.: 8:30 AM—5 PM
Fri.: 8:30 AM—2 PM
Participation is by invitation only. All participants must register. For more information please email Meghan Fazzi.
Organizer:
Omer Reingold, Stanford University
Meeting Goals:
The first annual meeting of the Simons Collaboration on the Theory of Algorithmic Fairness will bring together as many of the participants of the collaboration as well as others in the areas of algorithmic fairness, theoretical computer-science and in other relevant fields. The meeting will expose the participants to the unique challenges and opportunities of this field, which presents an area of research that is complex, subtle and multidisciplinary in an intrinsic fashion. No model or definition can fully capture such complexities and partial models and solutions carry the risk of legitimizing discrimination and talks will highlight some of these challenges.
The rising importance of this area and the significant attention given to unfairness of algorithms provide opportunities for exceptional societal impact which is rare in theoretical research while the early state of this field offers the prospects of intellectual impact. The meeting will expose participants to some of the ways in which both sorts of impact have started to materialize, and to explore avenues for additional impact.
Speakers:
Noam Barda, Harvard Medical School
Noa Dagan, Massachusetts Institute of Technology
Avrim Blum, Toyota Technological Institute at Chicago
Cynthia Dwork, Harvard University
Shafi Goldwasser, Simons Institute for the Theory of Computing
Evelynn Hammonds, Harvard University
Michael Kim, UC Berkeley
Irene Lo, Stanford University
Jamie Morgenstern, University of Washington
