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Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics.

, , , and . CoRR, (2022)

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Bias, awareness, and ignorance in deep-learning-based face recognition., , , , and . AI Ethics, 2 (3): 509-522 (2022)On the Moral Justification of Statistical Parity., , and . CoRR, (2020)Gradual (In)Compatibility of Fairness Criteria., and . AAAI, page 11926-11934. AAAI Press, (2022)FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit., , , and . EWAF, volume 3442 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Designing Affirmative Action Policies under Uncertainty., , and . J. Learn. Anal., 9 (2): 121-137 (August 2022)A Systematic Approach to Group Fairness in Automated Decision Making., and . SDS, page 1-6. IEEE, (2021)Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics., , , and . CoRR, (2022)On the Moral Justification of Statistical Parity., , and . FAccT, page 747-757. ACM, (2021)People are not coins: Morally distinct types of predictions necessitate different fairness constraints., , , and . FAccT, page 2293-2301. ACM, (2022)Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making., , , and . EWAF, volume 3442 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)