Barocas, Solon

Big Data's Disparate Impact

Barocas, S., & Selbst, A. D. (2014) · SSRN Electronic Journal

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 3,048

Language (Technology) is Power: A Critical Survey of “Bias” in NLP

Blodgett, S. L., Barocas, S., Daumé III, H., & Wallach, H. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 1,050

Mitigating bias in algorithmic hiring: evaluating claims and practices

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 845

Algorithmic Fairness: Choices, Assumptions, and Definitions

Mitchell, S., Potash, E., Barocas, S., D'Amour, A., & Lum, K. (2021) · Annual Review of Statistics and Its Application

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 687

Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions

Mitchell, S., Potash, E., Barocas, S., D'Amour, A., & Lum, K. (2018) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 687

The Intuitive Appeal of Explainable Machines

Selbst, A. D., & Barocas, S. (2018) · SSRN Electronic Journal

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 392

Big Data’s End Run around Anonymity and Consent

Barocas, S., & Nissenbaum, H. (2014) · Privacy, Big Data, and the Public Good

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 320

Problem Formulation and Fairness

Passi, S., & Barocas, S. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 283

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2019) · arXiv

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 176

Big data’s end run around procedural privacy protections

Barocas, S., & Nissenbaum, H. (2014) · Communications of the ACM

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 129

Engaging the ethics of data science in practice

Barocas, S., & Boyd, D. (2017) · Communications of the ACM

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 86

Model Multiplicity: Opportunities, Concerns, and Solutions

Black, E., Raghavan, M., & Barocas, S. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 85

Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs

Barocas, S., Guo, A., Kamar, E., Krones, J., Morris, M. R., Vaughan, J. W., Wadsworth, W. D., & Wallach, H. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 72

Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2019) · SSRN Electronic Journal

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 51

Measuring Representational Harms in Image Captioning

Wang, A., Barocas, S., Laird, K., & Wallach, H. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 40

Computer Vision and Conflicting Values: Describing People with Automated Alt Text

Hanley, M., Barocas, S., Levy, K., Azenkot, S., & Nissenbaum, H. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIDigital Accessibility for Disabilities

Cited by 38

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging

Katzman, J., Wang, A., Scheuerman, M., Blodgett, S. L., Laird, K., Wallach, H., & Barocas, S. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 32

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

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