Agnew, William

The Values Encoded in Machine Learning Research

Birhane, A., Kalluri, P., Card, D., Agnew, W., Dotan, R., & Bao, M. (2021) · arXiv

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 317

The Values Encoded in Machine Learning Research

Birhane, A., Kalluri, P., Card, D., Agnew, W., Dotan, R., & Bao, M. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 317

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

Dodge, J., Sap, M., Marasović, A., Agnew, W., Ilharco, G., Groeneveld, D., Mitchell, M., & Gardner, M. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 306

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers.

Moore, J., Grabb, D., Agnew, W., Klyman, K., Chancellor, S., Ong, D. C., & Haber, N. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 204

Characterizing Delusional Spirals through Human-LLM Chat Logs

Moore, J., Mehta, A., Agnew, W., Anthis, J. R., Louie, R., Mai, Y., Yin, P., Cheng, M., Paech, S. J., Klyman, K., et al. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigital Mental Health Interventions

Cited by 15

Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp

Hong, R., Agnew, W., Kohno, T., & Morgenstern, J. (2024) · Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 11