Vivienne Chi is a Postdoctoral Researcher in the Department of Computer and Information Science at the University of Pennsylvania, advised by Lyle H. Ungar and Sharath C. Guntuku. She is affiliated with the World Well-Being Project and the World Bank.

Her research asks: how can we design AI systems that teach, influence, and collaborate with people in sensitive, socially complex contexts—such as education and healthcare—while preserving human agency and well-being? Her work spans human-robot interaction, large language models, and computational social science across four themes: norm representation in media, AI safety for vulnerable populations, agency-preserving feedback systems, and computational modeling of trust dynamics.

She holds a Ph.D. and M.S. in Cognitive Science from Brown University (advised by Bertram Malle) and a B.S. in Computer Science and Cognitive Science from the University of Michigan. She has industry experience at Google’s Gemini Safety and Responsible AI team and Honda Research Institute.