Reviews: Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making

This paper proposes a new measure of fairness for classification and regression problems based on welfare considerations rather than inequality considerations. This measure of fairness represents a convex constraint, making it easy to optimize for. They experimentally demonstrate the tradeoffs between this notion of fairness and previous notions. I believe this to be a pretty valuable submission. A welfare-based approach over a inequality-based approach should turn out to be very helpful in addressing all sorts of concerns with the current literature. It also provokes a number of questions to follow up on which, while disappointing that they are not addressed here, means that the community should take interest in this paper.