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The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action.

, , , , and . FAccT, page 2060-2070. ACM, (2024)

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Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree., , , , and . FAccT, page 805-816. ACM, (2023)Characterizing Data Scientists' Mental Models of Local Feature Importance., , , , and . NordiCHI, page 9:1-9:12. ACM, (2022)Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining., , , , , , , and . ECML/PKDD (3), volume 10536 of Lecture Notes in Computer Science, page 114-126. Springer, (2017)An Introduction to Algorithmic Fairness.. CoRR, (2021)Improving Recommender System Diversity with Variational Autoencoders., , , and . BIAS, volume 1840 of Communications in Computer and Information Science, page 85-99. Springer, (2023)Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law., , , , and . EWAF, volume 3442 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms., , , and . FAccT, page 1850-1860. ACM, (2024)Look and You Will Find It: Fairness-Aware Data Collection through Active Learning., , and . IAL@PKDD/ECML, volume 3470 of CEUR Workshop Proceedings, page 74-88. CEUR-WS.org, (2023)The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action., , , , and . FAccT, page 2060-2070. ACM, (2024)