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As automated decision making and decision assistance systems become common in everyday life, research on the prevention or mitigation of potential harms that arise from decisions made by these systems has proliferated.
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Reuben Binns. 2018 · 2018
Cited alongside, same era.
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Cited alongside, same era.
Interpretable reinforcement learning with ensemble methods
Alexander Brown and Marek Petrik. 2018 · 2018
Cited alongside, same era.
Ethical mission definition and execution for maritime robots under human supervision
Don Brutzman, Curtis L Blais, Duane T Davis, and Robert B McGhee. 2018 · 2018
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Balanced neighborhoods for multi-sided fairness in recommendation. In Proceedings of the Conference on Fairness, Accountability and Transparency . 202–214
Robin Burke, Nasim Sonboli, and Aldo Ordonez-Gauger. 2018 · 2018
Cited alongside, same era.
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions. In Proceedings of the Conference on Fairness, Accountability and Transparency . 134–148
Alexandra Chouldechova, Diana Benavides-Prado, Oleksandr Fialko, and Rhema Vaithianathan. 2018 · 2018
Cited alongside, same era.
The measure and mismeasure of fairness: A critical review of fair machine learning
Sam Corbett-Davies and Sharad Goel. 2018 · 2018
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Javier Sánchez-Monedero, Lina Dencik, and Lilian Edwards. 2020 · 2020
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Adversarial Scrutiny of Evidentiary Statistical Software. In 2022 ACM Conference on Fairness, Accountability, and Transparency . 1733–1746
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ABCinML: Anticipatory Bias Correction in Machine Learning Applications. In 2022 ACM Conference on Fairness, Accountability, and Transparency . 1552–1560
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