Smitha Milli

Smitha Milli is a Research Scientist at Meta FAIR in the AI & Society group, where their research focuses on pluralistic alignment and collective governance of AI systems. They received both their BS and PhD in Electrical Engineering and Computer Science from UC Berkeley, advised by Anca Dragan and Moritz Hardt, and were supported by an NSF Graduate Research Fellowship and an Open Philanthropy AI Fellowship during their doctoral studies. Prior to Meta FAIR, they were a Postdoctoral Associate at Cornell Tech, supported by the Open Philanthropy Project. During their time at UC Berkeley's Center for Human-Compatible AI (CHAI), Smitha co-authored foundational AI safety papers including "Inverse Reward Design" (NeurIPS 2017) and "Should Robots Be Obedient?" (IJCAI 2017) with Stuart Russell, Anca Dragan, and Dylan Hadfield-Menell. Their current research addresses the gap between engagement-based optimization and socially beneficial objectives in algorithmic systems, with a focus on value-aligned ranking, algorithmic monoculture, and democratic approaches to AI governance. They have received funding from the Long-Term Future Fund for travel to the Symposium on AGI Safety.

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