Chouldechova, Alexandra

Fair prediction with disparate impact: a study of bias in recidivism prediction instruments

Chouldechova, A. (2017) · Big Data

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 2,159

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

De-Arteaga, M., Romanov, A., Wallach, H., Chayes, J., Borgs, C., Chouldechova, A., Geyik, S., Kenthapadi, K., & Kalai, A. T. (2019) · arXiv

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 337

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

De-Arteaga, M., Romanov, A., Wallach, H., Chayes, J., Borgs, C., Chouldechova, A., Geyik, S., Kenthapadi, K., & Kalai, A. T. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 337

A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores

De-Arteaga, M., Fogliato, R., & Chouldechova, A. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 221

Toward Algorithmic Accountability in Public Services: A Qualitative Study of Affected Community Perspectives on Algorithmic Decision-making in Child Welfare Services

Brown, A., Chouldechova, A., Putnam-Hornstein, E., Tobin, A., & Vaithianathan, R. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 207

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness

Donahue, K., Chouldechova, A., & Kenthapadi, K. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIMachine Learning and Algorithms

Cited by 33

Fairness Evaluation in Presence of Biased Noisy Labels

Fogliato, R., G'Sell, M., & Chouldechova, A. (2020) · arXiv

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 23

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

Coston, A., Guha, N., Ouyang, D., Lu, L., Chouldechova, A., & Ho, D. E. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Human Mobility and Location-Based AnalysisEthics and Social Impacts of AI

Cited by 21

Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening

Cheng, L., & Chouldechova, A. (2022) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 20

Examining risks of racial biases in NLP tools for child protective services

Field, A., Coston, A., Gandhi, N., Chouldechova, A., Putnam-Hornstein, E., Steier, D., & Tsvetkov, Y. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 18

Validating LLM-as-a-Judge Systems under Rating Indeterminacy

Guerdan, L., Barocas, S., Holstein, K., Wallach, H., Wu, S., & Chouldechova, A. (2025) · Advances in Neural Information Processing Systems 38

Artificial Intelligence in LawLegal processes and jurisprudence

Cited by 8

Taxonomizing Representational Harms using Speech Act Theory

Corvi, E., Washington, H., Reed, S., Atalla, C., Chouldechova, A., Dow, P. A., Garcia-Gathright, J., Pangakis, N. J., Sheng, E., Vann, D., et al. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 6

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Wallach, H., Desai, M., Cooper, A. F., Wang, A., Atalla, C., Barocas, S., Blodgett, S. L., Chouldechova, A., Corvi, E., Dow, P. A., et al. (2025) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1