Safer Classification by Synthesis. - William Wang; Angelina Wang; Aviv Tamar; Xi Chen 022; Pieter Abbeel (CoRR, 2017)

Learning Robotic Manipulation through Visual Planning and Acting. - Angelina Wang; Thanard Kurutach; Pieter Abbeel; Aviv Tamar (Robotics: Science and Systems, 2019)

Learning Robotic Manipulation through Visual Planning and Acting. - Angelina Wang; Thanard Kurutach; Kara Liu; Pieter Abbeel; Aviv Tamar (CoRR, 2019)

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. - Angelina Wang; Arvind Narayanan; Olga Russakovsky (ECCV (3), 2020)

ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets. - Angelina Wang; Arvind Narayanan; Olga Russakovsky (CoRR, 2020)

Understanding and Evaluating Racial Biases in Image Captioning. - Dora Zhao; Angelina Wang; Olga Russakovsky (ICCV, 2021)

Directional Bias Amplification. - Angelina Wang; Olga Russakovsky (ICML, 2021)

The Limits of Global Inclusion in AI Development. - Alan Chan; Chinasa T. Okolo; Zachary Terner; Angelina Wang (CoRR, 2021)

Measuring Representational Harms in Image Captioning. - Angelina Wang; Solon Barocas; Kristen Laird; Hanna M. Wallach (FAccT, 2022)

Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. - Angelina Wang; Vikram V. Ramaswamy; Olga Russakovsky (FAccT, 2022)

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. - Angelina Wang; Alexander Liu; Ryan Zhang; Anat Kleiman; Leslie Kim; Dora Zhao; Iroha Shirai; Arvind Narayanan; Olga Russakovsky (Int. J. Comput. Vis., 2022)

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. - Jared Katzman; Angelina Wang; Morgan Klaus Scheuerman; Su Lin Blodgett; Kristen Laird; Hanna M. Wallach; Solon Barocas (AAAI, 2023)

Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. - Angelina Wang; Sayash Kapoor; Solon Barocas; Arvind Narayanan (FAccT, 2023)

Gender Artifacts in Visual Datasets. - Nicole Meister; Dora Zhao; Angelina Wang; Vikram V. Ramaswamy; Ruth Fong; Olga Russakovsky (ICCV, 2023)

Overwriting Pretrained Bias with Finetuning Data. - Angelina Wang; Olga Russakovsky (ICCV, 2023)

Overcoming Bias in Pretrained Models by Manipulating the Finetuning Dataset. - Angelina Wang; Olga Russakovsky (CoRR, 2023)

Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle. - Arunesh Mathur; Angelina Wang; Carsten Schwemmer; Maia Hamin; Brandon M. Stewart; Arvind Narayanan (Big Data Soc., 2023)

Strategies for Increasing Corporate Responsible AI Prioritization. - Angelina Wang; Teresa Datta; John P. Dickerson (AIES (1), 2024)

Visions of a Discipline: Analyzing Introductory AI Courses on YouTube. - Severin Engelmann; Madiha Zahrah Choksi; Angelina Wang; Casey Fiesler (FAccT, 2024)

Large language models cannot replace human participants because they cannot portray identity groups. - Angelina Wang; Jamie Morgenstern; John P. Dickerson (CoRR, 2024)

Measuring Implicit Bias in Explicitly Unbiased Large Language Models. - Xuechunzi Bai; Angelina Wang; Ilia Sucholutsky; Thomas L. Griffiths 001 (CoRR, 2024)

Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways. - Angelina Wang; Xuechunzi Bai; Solon Barocas; Su Lin Blodgett (CoRR, 2024)

Evaluating Generative AI Systems is a Social Science Measurement Challenge. - Hanna M. Wallach; Meera A. Desai; Nicholas Pangakis; A. Feder Cooper; Angelina Wang; Solon Barocas; Alexandra Chouldechova; Chad Atalla; Su Lin Blodgett; Emily Corvi; P. Alex Dow; Jean Garcia-Gathright; et al. (CoRR, 2024)

Benchmark suites instead of leaderboards for evaluating AI fairness. - Angelina Wang; Aaron Hertzmann; Olga Russakovsky (Patterns, 2024)

Operationalizing Responsible Machine Learning: From Equality Towards Equity - Angelina Wang (2024)

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs. - Angelina Wang; Michelle Phan; Daniel E. Ho; Sanmi Koyejo (ACL (1), 2025)

Identities are not Interchangeable: The Problem of Overgeneralization in Fair Machine Learning. - Angelina Wang (FAccT, 2025)

Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways. - Angelina Wang; Xuechunzi Bai; Solon Barocas; Su Lin Blodgett (FAccT, 2025)

Large language models that replace human participants can harmfully misportray and flatten identity groups. - Angelina Wang; Jamie Morgenstern; John P. Dickerson (Nat. Mac. Intell., 2025)

Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge. - Hanna M. Wallach; Meera A. 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; et al. (CoRR, 2025)

Toward an Evaluation Science for Generative AI Systems. - Laura Weidinger; Inioluwa Deborah Raji; Hanna M. Wallach; Margaret Mitchell; Angelina Wang; Olawale Salaudeen; Rishi Bommasani; Deep Ganguli; Sanmi Koyejo; William Isaac 001 (CoRR, 2025)

Measurement to Meaning: A Validity-Centered Framework for AI Evaluation. - Olawale Salaudeen; Anka Reuel; Ahmed Ahmed; Suhana Bedi; Zachary Robertson; Sudharsan Sundar; Ben Domingue; Angelina Wang; Sanmi Koyejo (CoRR, 2025)

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 001; Flávio du Pin Calmon; Margaret Mitchell; Michael D. Ekstrand; Reuben Binns; Solon Barocas (CoRR, 2025)

The California Report on Frontier AI Policy. - Rishi Bommasani; Scott R. Singer; Ruth E. Appel; Sarah H. Cen; A. Feder Cooper; Elena Cryst; Lindsey A. Gailmard; Ian Klaus; Meredith M. Lee; Inioluwa Deborah Raji; Anka Reuel; Drew Spence; et al. (CoRR, 2025)

Bridging Prediction and Intervention Problems in Social Systems. - Lydia T. Liu; Inioluwa Deborah Raji; Angela Zhou; Luke Guerdan; Jessica Hullman; Daniel Malinsky; Bryan Wilder; Simone Zhang; Hammaad Adam; Amanda Coston; Benjamin Laufer; Ezinne Nwankwo; et al. (CoRR, 2025)

The Inadequacy of Offline LLM Evaluations: A Need to Account for Personalization in Model Behavior. - Angelina Wang; Daniel E. Ho; Sanmi Koyejo (CoRR, 2025)