Wang, Angelina

9 publications

ICML 2025 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

NeurIPS 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, Flavio Calmon, Margaret Mitchell, Michael Ekstrand, Reuben Binns, Solon Barocas

NeurIPSW 2024 Measuring Implicit Bias in Explicitly Unbiased Large Language Models Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths

ICCV 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

AAAI 2023 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

ICML 2021 Directional Bias Amplification Angelina Wang, Olga Russakovsky

ICCV 2021 Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao, Angelina Wang, Olga Russakovsky

ECCV 2020 REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang, Arvind Narayanan, Olga Russakovsky