FairSelect systematically evaluates single and multi-level fairness interventions with intersectional metrics, finding non-additive, context-dependent effects on synthetic bias tests and a real AF stroke-risk task.
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FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness
FairSelect systematically evaluates single and multi-level fairness interventions with intersectional metrics, finding non-additive, context-dependent effects on synthetic bias tests and a real AF stroke-risk task.