Solon Barocas

Senior Principal Researcher, Fairness, Accountability, Transparency, and Ethics in AI, Microsoft Research

Adjunct Associate Professor, Information Science, Cornell University

Joined

July 2019

Names

Solon Barocas

Emails

****@cornell.edu (Confirmed)

****@microsoft.com (Confirmed)

****@barocas.org (Confirmed)

Personal Links

Career & Education History

Senior Principal Researcher

Fairness, Accountability, Transparency, and Ethics in AI, Microsoft Research (microsoft.com)

2019 – Present

Adjunct Associate Professor

Information Science, Cornell University (cornell.edu)

2017 – Present

Advisors, Relations & Conflicts

Postdoc Advisor

Kate Crawford

2016 – 2017

Postdoc Advisor

Arvind Narayanan

2014 – 2016

PhD Advisor

Helen Nissenbaum

2007 – 2014

Expertise

fairness

accountability

transparency

interpretability

explainability

2007 – Present

privacy

2003 – Present

Publications

Statistical Guarantees in the Search for Less Discriminatory Algorithms
Chris Hays, Benjamin Laufer, Solon Barocas, Manish Raghavan
- ICLR 2026 Poster
- Readers: Everyone
Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang, Fernando Diaz, Flavio Calmon, Margaret Mitchell, Michael Ekstrand, Reuben Binns, Solon Barocas
- NeurIPS 2025 Position Paper Track
- Readers: Everyone
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
Alexandra Chouldechova, A. Feder Cooper, Solon Barocas, Abhinav Palia, Dan Vann, Hanna Wallach
- NeurIPS 2025 Position Paper Track
- Readers: Everyone
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Eleni Triantafillou, Peter Kairouz, Nicole Elyse Mitchell, Niloofar Mireshghallah, Abigail Z. Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis et al. (17 additional authors not shown)
- NeurIPS 2025 Position Paper Track Oral
- Readers: Everyone
Validating LLM-as-a-Judge Systems under Rating Indeterminacy
Luke Guerdan, Solon Barocas, Ken Holstein, Hanna Wallach, Steven Wu, Alexandra Chouldechova
- NeurIPS 2025 poster
- Readers: Everyone
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
- ICML 2025 Position Paper Track poster
- Readers: Everyone
Designing Algorithmic Delegates
Sophie Greenwood, Karen Levy, Solon Barocas, Jon Kleinberg, Hoda Heidari
- NeurIPS 2024 Workshop on Behavioral ML
- Readers: Everyone
Fundamental Limits in the Search for Less Discriminatory Algorithms—and How to Avoid Them
Benjamin Laufer, Manish Raghavan, Solon Barocas
- RegML 2024
- Readers: Everyone
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen, Baobao Zhang
- AAAI 2024
- Readers: Everyone
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann et al. (15 additional authors not shown)
- CoRR 2024
- Readers: Everyone

View all 94 publications

Co-Authors

View all 144 co-authors