Article
AI sovereignty should be operationalized as a strategic capacity built through three interdependent pillars.
Luca Belli
Research
Advancing Science- and Evidence-based AI Policy
Effectively steering outcomes for and through AI will require thoughtful, evidence-based policy development. Though it may seem self-evident that evidence should inform policy, this is far from inevitable in the inherently messy policy process.
By Rishi Bommasani, Sanjeev Arora, Jennifer Chayes, Yejin Choi, Mariano-Florentino (Tino) Cuéllar, Li Fei-Fei, Daniel E. Ho, Dan Jurafsky, Sanmi Koyejo, Hima Lakkaraju, Arvind Narayanan, Alondra Nelson, Emma Pierson, Joelle Pineau, Scott Singer, Gaël Varoquaux, Suresh Venkatasubramanian, Ion Stoica, Percy Liang, Dawn Song
Published on Jul 31, 2025
About the Authors
Rishi Bommasani
Sanjeev Arora
Jennifer Chayes
Yejin Choi
Mariano-Florentino (Tino) Cuéllar
Former Carnegie President (2021-2026)
Mariano-Florentino (Tino) Cuéllar was previously the tenth president of the Carnegie Endowment for International Peace. A former justice of the Supreme Court of California, he has served three U.S. presidential administrations at the White House and in federal agencies, and was the Stanley Morrison Professor at Stanford University, where he held appointments in law, political science, and international affairs and led the university’s Freeman Spogli Institute for International Studies.
Li Fei-Fei
Daniel E. Ho
Dan Jurafsky
Sanmi Koyejo
Hima Lakkaraju
Arvind Narayanan
Alondra Nelson
Emma Pierson
Joelle Pineau
Scott Singer
Fellow, Technology and International Affairs, and Co-Director, China AI Initiative
Scott Singer is a fellow and co-director of the China AI Initiative at the Carnegie Endowment for International Peace, where his work explores the geopolitics and governance of advanced AI systems. He specializes in China’s AI ecosystem, with a particular focus on U.S.-China AI dialogue and diplomacy, U.S. and Chinese approaches to AI strategy, and comparative approaches to AI safety and risk management.
Gaël Varoquaux
Suresh Venkatasubramanian
Ion Stoica
Professor in the EECS Department at the University of California at Berkeley and the Director of Sky Computing Lab
Ion Stoica is a professor in the EECS Department at the University of California at Berkeley, and the Director of Sky Computing Lab. He is currently doing research on cloud computing and AI systems. Current and past work includes ChatBot Arena, vLLM, Ray, Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS). He is a Member of NAE, an Honorary Member of the Romanian Academy, an ACM Fellow and has received numerous awards, including the Mark Weiser Award (2019), SIGOPS Hall of Fame Award (2015), and several "Test of Time" awards. He also co-founded three companies, Anyscale (2019), Databricks (2013) and Conviva (2006).
Percy Liang
Dawn Song
Carnegie does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.
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