2022 Next Gen National Security Fellow
Stanford Institute for Human-Centered Artificial Intelligence
Tina Huang is the policy program manager at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). In this role, Tina oversees numerous programs designed to equip policymakers in the U.S. and abroad with the knowledge and skills necessary to make informed decisions on various emerging technologies.
Previously, Tina served as the AI policy fellow for Rep. Jerry McNerney (CA-09), co-chair of the Congressional AI Caucus, where she provided research support for the congressman’s AI legislative agenda. Tina was also a research analyst at Georgetown’s Center for Security and Emerging Technology (CSET) where she focused on AI talent, specifically analyzing the competitiveness of U.S. immigration policies for attracting and retaining international talent compared to those in U.S. economic competitor nations. She also conducted research on U.S. military investments in AI and the calibration of trust in human-machine teams in warfare.
Tina is an advisor to Girl Security, a non-profitpreparing girls, women, and gender minorities for national security careers. She previously served as Girl Security’s curriculum program director where she created modules on various national security topics for middle to high school girls. Tina earned her B.A. in international studies from Emory University and M.A. in security studies from the Georgetown Walsh School of Foreign Service.