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In recent years, the idea of formalising and modelling fairness for algorithmic decision making (ADM) has advanced to a point of sophisticated specialisation.
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Downstream Effects of Affirmative Action. In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency . ACM, 240–248
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A Causal Bayesian Networks Viewpoint on Fairness. In IFIP International Summer School on Privacy and Identity Management . Springer, 3–20
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Quotas Get More Women on Boards and Stir Change from Within
Annette Ekin and Florence Villesèche. 2018 · 2018
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Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 32
Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, and Adrian Weller. 2018 · 2018
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A Bias Event Approach
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How do Fair Decisions Fare in Long-Term Qualification?
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The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making Systems
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Patterned Inequality, Compounding Injustice, and Algorithmic Prediction
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Measurement and Fairness. In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency . ACM, 375–385
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Fairness, Equality, and Power in Algorithmic Decision-Making. In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency . ACM, 576–586
Maximilian Kasy and Rediet Abebe. 2021 · 2021
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