Dotan, Ravit

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

Responsible Adoption of Generative AI in Higher Education: Developing a "Points to Consider" Approach Based on Faculty Perspectives

Dotan, R., Parker, L. S., & Radzilowicz, J. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Artificial Intelligence in EducationEthics and Social Impacts of AI

Cited by 71

Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs

Johnson, N., Silva, E., Leon, H., Eslami, M., Schwanke, B., Dotan, R., & Heidari, H. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIPublic Procurement and Policy

Cited by 12

Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI

Kuehnert, B., Johnson, N., Dotan, R., & Heidari, H. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 0