325 citations · 400 across the 19 of their papers we have counts for
3 papers · 1 filter
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift
Nicolas Acevedo, Carmen Cortez, Chris Brooks +2
Distribution shift is a common situation in machine learning tasks, where the data used for training a model is different from the data the model is applied to in the real world. T…
Fairness Hub Technical Briefs: AUC Gap
Jinsook Lee, Chris Brooks, Renzhe Yu +1
To measure bias, we encourage teams to consider using AUC Gap: the absolute difference between the highest and lowest test AUC for subgroups (e.g., gender, race, SES, prior knowled…
On the limits of algorithmic prediction across the globe
Xingyu Li, Difan Song, Miaozhe Han +2
The impact of predictive algorithms on people's lives and livelihoods has been noted in medicine, criminal justice, finance, hiring and admissions. Most of these algorithms are dev…