Fairness Aware Counterfactuals for Subgroups

Published: 21 Sept 2023, Last Modified: 09 Jan 2024NeurIPS 2023 posterEveryoneRevisionsBibTeX
Keywords: subgroup fairness, recourse, counterfactual explanations
TL;DR: FACTS is an auditing mechanism for fairness of recourse, i.e., how difficult is it to achieve the desired outcome
Abstract: In this work, we present Fairness Aware Counterfactuals for Subgroups (FACTS), a framework for auditing subgroup fairness through counterfactual explanations. We start with revisiting (and generalizing) existing notions and introducing new, more refined notions of subgroup fairness. We aim to (a) formulate different aspects of the difficulty of individuals in certain subgroups to achieve recourse, i.e. receive the desired outcome, either at the micro level, considering members of the subgroup individually, or at the macro level, considering the subgroup as a whole, and (b) introduce notions of subgroup fairness that are robust, if not totally oblivious, to the cost of achieving recourse. We accompany these notions with an efficient, model-agnostic, highly parameterizable, and explainable framework for evaluating subgroup fairness. We demonstrate the advantages, the wide applicability, and the efficiency of our approach through a thorough experimental evaluation on different benchmark datasets.
Supplementary Material: zip
Submission Number: 3430
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