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Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction.

, , , and . Proceedings of the 2018 World Wide Web Conference, page 903--912. (2018)

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Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction., , , and . Proceedings of the 2018 World Wide Web Conference, page 903--912. (2018)The case for process fairness in learning: Feature selection for fair decision making, , , and . NIPS Symposium on Machine Learning and the Law at the 29th Conference on Neural Information Processing Systems, (2016)Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction., , , and . WWW, page 903-912. ACM, (2018)(De)Noise: Moderating the Inconsistency Between Human Decision-Makers., , , and . CoRR, (2024)Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making., , and . HCOMP, page 74-88. AAAI Press, (2022)Laypeople's Egocentric Perceptions of Copyright for AI-Generated Art., , and . CoRR, (2024)Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm., , and . CHI, page 372:1-372:26. ACM, (2023)Dimensions of Diversity in Human Perceptions of Algorithmic Fairness., , , and . EAAMO, page 21:1-21:12. ACM, (2022)An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision., , , , and . CoRR, (2019)On Fairness, Diversity and Randomness in Algorithmic Decision Making., , , and . CoRR, (2017)