In this talk, Prof. Hardt will share some archaeology of the UCI Adult dataset, discuss its impact on the fairness community and highlight some of its limitations. He will then introduce the audience to a new collection of datasets derived from US Census data sources that vastly extend the existing data ecosystem for research on fair machine learning. These new datasets surface a range of empirical insights relevant to ongoing debates about statistical fairness criteria and algorithmic fairness interventions. Learn more and register!
Event Details
Date and Time
April 26, 2021, 1:01 to 2:01 p.m.