Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Decision making algorithms, in practice, are often trained on data that exhibits a variety of biases. Decision-makers often aim to take decisions based on some ground-truth target that is assumed or expected to be unbiased, i.e., equally distributed across socially salient groups. In many practical settings, the ground-truth cannot be …