Social and information scientist with expertise in AI, computer and 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
-
- [Research Paper] My 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.