Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Alex Beutel, Jilin Chen, Zhe Zhao +1

How can we learn a classifier that is "fair" for a protected or sensitive group, when we do not know if the input to the classifier belongs to the protected group? How can we train…