Wang, Angelina

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

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

Directional Bias Amplification

Wang, A., & Russakovsky, O. (2021) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 30

Measuring Implicit Bias in Explicitly Unbiased Large Language Models

Bai, X., Wang, A., Sucholutsky, I., & Griffiths, T. L. (2024) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 17

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