Social scientist with expertise in AI, information science, and science & technology studies.
I tackle the sociotechnical, organizational, and ethical challenges with designing, building, and using modern AI systems.
My research lies at the intersection of human-centered AI, critical computing, and social sciences. I focus on emergent challenges of human oversight and appropriate reliance on Generative AI (GenAI) and Agentic AI systems. I am also an Affiliate of the Data & Society Research Institute (D&S).
I have a Ph.D. in Information Science from Cornell University (USA), M.Sc. Research in Science & Technology Studies from Maastricht University (Netherlands), and a B.Tech. in Information Technology from DA-IICT (India).
Recent Updates
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- [Book chapter] Our book chapter Addressing Overreliance on AI is coming out soon in the Springer Handbook of Human-Centered Artificial Intelligence. Work done in collaboration with Shipi Dhanorkar and Mihaela Vorvoreanu.
- [Research Paper] Our paper RAI Advocacy: Communicative Strategies for Advancing RAI in Large Technology Companies was accepted to AIES 2025. Work led by Jordan Duran.
- [Research Paper] Our paper Towards an Organizational Responsible AI Maturity Model (RAI-MM) was accepted to ACM CSCW 2025. 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.