Fairness Aware Counterfactuals for Subgroups
- Others:
- Athena Research and Innovation Centre (ARC)
- Université libre de Bruxelles (ULB)
- National Technical University of Athens [Athens] (NTUA)
- National and Kapodistrian University of Athens (NKUA)
- AlgebRe, geOmetrie, Modelisation et AlgoriTHmes (AROMATH) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-National and Kapodistrian University of Athens (NKUA)
Citation
Description
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 of different benchmark datasets.
Abstract
POSTER
Abstract
International audience
Additional details
- URL
- https://hal.science/hal-04294292
- URN
- urn:oai:HAL:hal-04294292v1
- Origin repository
- UNICA