Society's hardest problems won't be solved by AI reasoning by itself—they'll be solved by humans collaborating, with AI that understands the group well enough to make that collaboration more powerful. To get there, I formalize social scientific knowledge into frameworks, models, and evaluation techniques that can be readily applied by practitioners to build AI systems that that can participate in collective human activity—in teams, communities, and society—safely and productively.
Here's a bio: Pranav Khadpe is a Senior Applied Scientist at Microsoft. At Microsoft, he leads projects that ground the development of advanced AI systems on firm social scientific foundations, to ensure these systems reach society productively and safely. His research lies at the intersection of human computer interaction, social psychology, and artificial intelligence. This research has received best paper honorable mentions at CSCW'25, CHI'23 and CSCW'20, and has been reported by Science, the New York Times, and the Wall Street Journal. His research has been supported by Google, NSF, and the Frank-Ratchye STUDIO for Creative Inquiry, and Pranav himself has been supported by a UROVO Presidential Fellowship and S.N.Bose Scholarship. He holds a bachelor's and master’s degree in Electrical Engineering from IIT Kharagpur and a Ph.D. in Human-Computer Interaction from Carnegie Mellon University.
Here's a CV.
Some areas I have worked on: (see my C.V. or Google Scholar for a complete list)