Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features

We introduce a new method of (1) measuring ground truth fairness violations, and (2) training fair models, in a setting with very limited access to protected attribute data--a common setting in a wide range of government and business contexts.