Jessica Dai

20 papers A* 4A 1C 2Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aggregated Individual Reporting for Post-Deployment Evaluation.
CoRR
Jessica Dai, Inioluwa Deborah Raji, Benjamin Recht, Irene Y. Chen
2025 A* conf
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms.
ICML
Jessica Dai, Paula Gradu, Inioluwa Deborah Raji, Benjamin Recht
2025 J jnl
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms.
CoRR
Jessica Dai, Paula Gradu, Inioluwa Deborah Raji, Benjamin Recht
2025 A* conf
Learning With Multi-Group Guarantees For Clusterable Subpopulations.
ICML
Jessica Dai, Nika Haghtalab, Eric Zhao
2025 J jnl
Patient Safety Risks from AI Scribes: Signals from End-User Feedback.
CoRR
Jessica Dai, Anwen Huang, Catherine Nasrallah, Rhiannon Croci, Hossein Soleimani, Sarah J. Pollet, Julia Adler-Milstein, Sara G. Murray, Jinoos Yazdany, Irene Y. Chen
2025 J jnl
The Limits of Preference Data for Post-Training.
CoRR
Eric Zhao, Jessica Dai, Pranjal Awasthi
2024 J jnl
Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis.
CoRR
Jessica Dai
2024 A conf
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
AISTATS
Jessica Dai, Bailey Flanigan, Meena Jagadeesan, Nika Haghtalab, Chara Podimata
2024 J jnl
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
CoRR
Jessica Dai, Bailey Flanigan, Nika Haghtalab, Meena Jagadeesan, Chara Podimata
2024 J jnl
Learning With Multi-Group Guarantees For Clusterable Subpopulations.
CoRR
Jessica Dai, Nika Haghtalab, Eric Zhao
2024 J jnl
Mapping Social Choice Theory to RLHF.
CoRR
Jessica Dai, Eve Fleisig
2024 A* conf
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis.
ICML
Jessica Dai
2023 A* conf
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments.
NeurIPS
Jessica Dai, Paula Gradu, Christopher Harshaw
2023 J jnl
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments.
CoRR
Jessica Dai, Paula Gradu, Christopher Harshaw
2022 J jnl
Achieving Downstream Fairness with Geometric Repair.
CoRR
Kweku Kwegyir-Aggrey, Jessica Dai, John P. Dickerson, Keegan Hines
2022 C conf
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations.
AIES
Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
2022 J jnl
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations.
CoRR
Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
2021 C conf
Fair Machine Learning Under Partial Compliance.
AIES
Jessica Dai, Sina Fazelpour, Zachary C. Lipton
2021 J jnl
What will it take to generate fairness-preserving explanations?
CoRR
Jessica Dai, Sohini Upadhyay, Stephen H. Bach, Himabindu Lakkaraju
2020 J jnl
Fair Machine Learning Under Partial Compliance.
CoRR
Jessica Dai, Sina Fazelpour, Zachary C. Lipton