Ben Green and Yiling Chen. 1/2019. “
Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments.” In Conference on Fairness, Accountability, and Transparency (FAT* ’19).
Download Christos Dimitrakakis, Yang Liu, David C. Parkes, and Goran Radanovic. 2019. “
Bayesian Fairness.” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI).
Download Berk Ustun, Yang Liu, and David C. Parkes. 2019. “
Fairness without Harm: Decoupled Classifiers with Preference Guarantees.” In Proceedings of the 36th International Conference on Machine Learning (ICML'19), Pp. 6373-6382.
Download Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David Parkes, and Yang Liu. 2019. “
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness.” In Proceedings of AI Ethics and Society (AIES) , Pp. 99-106.
Download Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, and David C. Parkes. 2019. “
Learning Representations by Humans, for Humans.” In NeurIPS Workshop on Human-Centric Machine Learning.
Download Ben Green and Yiling Chen. 2019. “
The Principles and Limits of Algorithm-in-the-Loop Decision Making.” Proceedings of the ACM on Human-Computer Interaction, 3, CSCW, Pp. Article 50.
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