AI RESEARCH

Shapley meets Rawls: an integrated framework for measuring and explaining unfairness

arXiv CS.LG

ArXi:2603.26476v1 Announce Type: new Explainability and fairness have mainly been considered separately, with recent exceptions trying the explain the sources of unfairness. This paper shows that the Shapley value can be used to both define and explain unfairness, under standard group fairness criteria. This offers an integrated framework to estimate and derive inference on unfairness as-well-as the features that contribute to it.