The Top 10 Kinds of Fairness


This is a recording of a ~20 minute talk proposing new research directions for the FAT (Fairness, Accountability, Transparency) technical community. It argues for an expansive definition of fairness that goes beyond “statistical” fairness or “comparative” fairness, and for automated monitoring for fairness as a research problem. Original title: “The Top 10 Threats to Fairness For Your Top 10 Ranking Algorithm.

Presenter: Christian Sandvig, University of Michigan

Respondant: Ellen Goodman, Rutgers

Originally held:

SATURDAY, November 18, 2017
11:10 a.m. – 12:20 p.m. Eastern Standard Time (UTC/GMT -5 hours)

Room 350 of Steinberg-Dietrich Hall
3620 Locust Walk (map)
University of Pennsylvania
Philadelphia, PA

This talk was part of the event:
After the Digital Tornado: Networks | Algorithms | Humanity

Held at the University of Pennsylvania and hosted by the Wharton School. This material is based upon work supported by the National Science Foundation under Grant No. ITR-1665151. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.