Value-laden disciplinary shifts in machine learning. - Ravit Dotan; Smitha Milli (FAT*, 2020)

Theory choice, non-epistemic values, and machine learning. - Ravit Dotan (Synth., 2021)

The Values Encoded in Machine Learning Research. - Abeba Birhane; Pratyusha Kalluri; Dallas Card; William Agnew; Ravit Dotan; Michelle Bao (FAccT, 2022)

Responsible Adoption of Generative AI in Higher Education: Developing a "Points to Consider" Approach Based on Faculty Perspectives. - Ravit Dotan; Lisa S. Parker; John Radzilowicz (FAccT, 2024)

Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework. - Ravit Dotan; Borhane Blili-Hamelin; Ravi Madhavan; Jeanna Matthews; Joshua Scarpino (CoRR, 2024)

Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study. - Jill Burstein; Geoffrey T. LaFlair; Kevin P. Yancey; Alina A. von Davier; Ravit Dotan (CoRR, 2024)

Public Procurement for Responsible AI? Understanding U.S. Cities' Practices, Challenges, and Needs. - Nari Johnson; Elise Silva; Harrison Leon; Motahhare Eslami; Beth Schwanke; Ravit Dotan; Hoda Heidari (CoRR, 2024)

Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs. - Nari Johnson; Elise Silva; Harrison Leon; Motahhare Eslami; Beth Schwanke; Ravit Dotan; Hoda Heidari (FAccT, 2025)