Fairness without Demographics through Adversarially Reweighted Learning

Preethi Lahoti, Alex Beutel, Jilin Chen +5

Much of the previous machine learning (ML) fairness literature assumes that protected features such as race and sex are present in the dataset, and relies upon them to mitigate fai…