Publication Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions Helena Vasconcelos, Gagan Bansal, Adam Fourney, Q. Vera Liao, Jennifer Wortman Vaughan ToCHI | April 2025, Vol 32(1)
Publication AI Automatons: AI Systems Intended to Imitate Humans Alexandra Olteanu, Solon Barocas, Su Lin Blodgett, Lisa Egede, Alicia DeVrio, Myra Cheng March 2025 Vidéo Projet
Publication 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, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs ICML 2025 | January 2025
Publication Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach November 2024 November 2024
Publication Evaluating Generative AI Systems is a Social Science Measurement Challenge Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs November 2024 November 2024
Publication Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat Empirical Methods in Natural Language Processing | November 2024
Publication “One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna Wallach, Alexandra Olteanu NAACL 2024 | June 2024
Publication The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat NAACL 2024 | June 2024
Publication “I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan 7th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024) | June 2024 Projet
Publication AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. Vera Liao, Jennifer Wortman Vaughan Harvard Data Science Review | February 2024 Projet
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