2024
Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
ICML 2024poster
Contrary to traditional deterministic notions of algorithmic fairness, this paper argues that fairly allocating scarce resources using machine learning often requires randomness. We address why, when, and how to randomize by offering a set of stochastic procedures that more adequately account for al…