Samir Passi currently works on a critical challenge with increasingly autonomous AI systems: judging whether they do the right things, in the right ways, for the right reasons. He focuses on how people make these judgments and how builders can design systems to support them.
His broader work examines what makes AI transparency useful enough to act on, how AI is changing professional work and expertise, and how organizations can build responsible AI into their development practices. Across his R&D work, Samir not only anticipates emerging challenges with modern AI and develops ways to evaluate and address them, but also works closely with development teams to turn research into practical requirements and design features, as well as frameworks and practices for building, deploying, and using AI responsibly.
Samir works at Kforce, where he is on contract with Microsoft’s AI, Ethics, and Effects in Engineering and Research (AETHER) team. He is also an Affiliate of the Data & Society Research Institute. His research has received two Best Paper awards at ACM CSCW and a Best Paper Honorable Mention at ACM CHI. He holds a Ph.D. in Information Science from Cornell University, an M.Sc. (Research) in Science & Technology Studies from Maastricht University, and a B.Tech. in Information Technology from DA-IICT.
2026: Selected New Updates
- [Announcement] We are organizing a Data & Society panel discussion on The Limits of Human Oversight in the Age of AI Agents, featuring Margaret Mitchell, Ranjit Singh, Madeleine Clare Elish, and myself.
- [Research Primer] We release a new Data & Society research primer titled The Oversight Fallacy: Why AI Agents
Require More than Humans-in-the-Loop. Work done in collaboration with Ranjit Singh. - [Research Paper] Our FAccT ’26 paper Human Oversight of Agentic Systems in Practice: Examining the Oversight Work, Challenges, and Heuristics of Developers using Software Agents is now available online. Work done in collaboration with Shipi Dhanorkar and Mihaela Vorvoreanu.
- [Announcement] Our CHI ’26 paper From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms to Foster Dignified Human-AI Interaction won the Best Paper Honorable Mention award! Work led by Upol Ehsan.
- [Workshop] Presented our work-in-progress Human Oversight in Practice: Agentic Systems and Scientific Workflows at Data & Society’s The Craft of Science with AI: Evidence, Judgment, and Practice workshop. Work done in collaboration with Ranjit Singh.
Selected Older Updates
- [Research Paper] New position paper Agentic AI has a Human Oversight Problem is now available online at SSRN.
- [Book chapter] Our book chapter Addressing Overreliance on AI in the Springer Handbook of Human-Centered Artificial Intelligence is now available online. Work done in collaboration with Shipi Dhanorkar and Mihaela Vorvoreanu.
- [Research Paper] Our AIES ’25 paper RAI Advocacy: Communicative Strategies for Advancing RAI in Large Technology Companies is now available online. Work led by Jordan Duran.
- [Research Paper] Our CSCW ’25 paper Towards a Responsible AI Organizational Maturity Model is now available online. Work done in collaboration with Amy Heger, Shipi Dhanorkar, Zoe Kahn, Ruotong Wang, and Mihaela Vorvoreanu.
- [Book Chapter] Our book chapter Maintaining Data Infrastructures in the International Handbook of Data and Society is now available online. Work done in collaboration with Steven Jackson, Jen Liu, and Ranjit Singh.
- [Research Report] We released a new Microsoft Research Technical Report on Appropriate Reliance on Generative AI (GenAI). Work done in collaboration with Shipi Dhanorkar and Mihaela Vorvoreanu.
- [Research Paper] Our paper Seamful XAI: Operationalizing Seamful Design in Explainable AI was accepted to ACM CSCW 2024. Work led up Upol Ehsan.
- [Research Paper] Our paper The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations was accepted to ACM CHI 2024. Work led by Upol Ehsan.
- [Announcement] Excited to be selected as an Affiliate of the Data & Society research organization.
- [Research Report] We released a new Microsoft Research Technical Report on Overreliance on AI. Work done in collaboration with Mihaela Vorvoreanu.




