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Jessica Dai
Jessica Dai
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Fairness via explanation quality: Evaluating disparities in the quality of post hoc explanations
J Dai, S Upadhyay, U Aivodji, SH Bach, H Lakkaraju
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 203-214, 2022
382022
Fair Machine Learning Under Partial Compliance
J Dai, S Fazelpour, ZC Lipton
arXiv e-prints, arXiv: 2011.03654, 2020
28*2020
Label bias, label shift: Fair machine learning with unreliable labels
J Dai, SM Brown
NeurIPS 2020 Workshop on Consequential Decision Making in Dynamic …, 2020
17*2020
What will it take to generate fairness-preserving explanations?
J Dai, S Upadhyay, SH Bach, H Lakkaraju
arXiv preprint arXiv:2106.13346, 2021
112021
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
J Dai, P Gradu, C Harshaw
arXiv preprint arXiv:2305.17187, 2023
82023
Mapping Social Choice Theory to RLHF
J Dai, E Fleisig
arXiv preprint arXiv:2404.13038, 2024
12024
Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
J Dai
arXiv preprint arXiv:2404.13861, 2024
2024
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
J Dai, B Flanigan, N Haghtalab, M Jagadeesan, C Podimata
International Conference on Artificial Intelligence and Statistics, 2512-2520, 2024
2024
Repairing Regressors for Fair Binary Classification at Any Decision Threshold.
K Kwegyir-Aggrey, AF Cooper, J Dai, JP Dickerson, K Hines, ...
2023
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Articles 1–9