Principals
Alisa Hall
Alisa Hall is an accomplished legal leader with over a decade of experience in technology law, privacy compliance, and artificial intelligence governance at some of Silicon Valley’s most influential tech companies. Most recently she led the Generative AI product legal team at Meta, where she was instrumental in the launch of products such as Meta AI and the LLaMA model family. Her experience spans regulatory engagement, high-stakes litigation management, and cross-functional collaboration with product and engineering teams. Alisa’s distinctive ability to translate complex legal requirements into business-focused guidance has made her an indispensable strategic advisor in navigating the rapidly evolving landscapes of AI governance, data privacy, and technology regulation.
Before her AI remit, Alisa was a leader on Meta’s privacy counseling team. Prior to joining Meta, Alisa spent six years at eBay where she advised on a wide range of complex issues, including as Director of Privacy & Privacy Compliance where she led a team and built compliance programs from the ground up for landmark regulations including CCPA. At eBay, she also served as Senior Litigation Counsel, managing an array of high-profile matters including intellectual property disputes, regulatory investigations, and consumer class actions.
Alisa began her career on Capitol Hill drafting pioneering privacy bills, giving her a rare 360-degree view of regulation, policy, and product development. Alisa earned her J.D. from The George Washington University Law School and is admitted to the California and Massachusetts bars.
Olivia Jackson
Olivia Jackson is a seasoned legal executive with two decades of international experience spanning technology law, corporate governance, emerging regulations, and content policy. She previously served as the inaugural General Counsel for the Oversight Board, an innovative independent governance mechanism established by Meta, that delivers binding decisions on the most challenging content issues across Facebook, Instagram, and Threads. In this role, she played a pivotal part in deploying frameworks to protect freedom of expression while addressing some of the most challenging and complex speech issues in the digital age.
Her career trajectory reflects her versatility across both technology and traditional legal sectors. At eBay, she progressed through increasingly senior roles over seven years, ultimately serving as Senior Director of Legal where she managed teams of attorneys and served as lead legal partner to major business units. Her foundation in law was established through legal training at a global law firm based in London, alongside prestigious clerkships at the Court of Appeal of England and Wales and positions at international courts.
Olivia's combination of Silicon Valley technology expertise and cutting-edge work on global governance models sets her apart in the field. She holds an LL.M. in Corporate Governance & Practice from Stanford Law School and a B.A. in Law (with French Law) from Oxford University, and is admitted to practice in both New York and England & Wales.
Academic Advisors
Ethan Bueno de Mesquita
Ethan Bueno de Mesquita is the Dean and Sydney Stein Professor at the University of Chicago Harris School of Public Policy. His research applies game theory to the study of national security, elections, and tech policy. He writes and advises leaders in the public and private sectors on both national security matters and issues concerning tech governance, policy, and strategy.
He is the author of three books—Political Economy for Public Policy, Theory and Credibility, and Thinking Clearly with Data—as well as many articles in political science and economics. His work has been supported by the National Science Foundation, the Office of Naval Research, and the United States Institute of Peace. He is also the co-host of the Not Another Politics Podcast.
Before joining the University of Chicago faculty, Bueno de Mesquita taught in the political science department at Washington University in St. Louis. He earned his B.A. from the University of Chicago, and his MA and PhD from Harvard University.
Justin Grimmer
Justin Grimmer is the Morris M Doyle Centennial Professor of Public Policy in Stanford University’s Political Science Department in Stanford, California and a Senior Fellow at the Hoover Institution. His academic research develops and applies new machine learning and causal inference methods to study democratic governance. He is the author of three books and numerous academic articles published in leading journals in Political Science, Computer Science, Statistics, and Machine Learning along with general interest science journals.
Justin currently serves as an advisor to Home Key, an AI-based real estate startup. Starting in 2015 he served as a consultant to Meta Platforms, Inc. working at problems at the intersection of politics and technology. He has extensive experience testifying as an expert witness in litigation and has taught in the American Bar’s National Judicial College helping educate judges on how to evaluate expert reports.
Justin is an award winning teacher and has taught courses on machine learning, causal inference, and public policy at the graduate and undergraduate level at Stanford University and the University of Chicago. He attended Harvard University and received his Ph.D. in Political Science from the Department of Government. He graduated Summa Cum Laude from Wabash College, where he earned his degree in Mathematics and Political Science.
Andy Hall
Andy Hall is the Davies Family Professor of Political Economy at the Stanford Graduate School of Business and a Senior Fellow at the Hoover Institution. He is an expert on designing governance systems for the online and offline worlds and helping organizations build, sell, and govern products in ways that work for them and for society. He has published more than 30 peer-reviewed articles in top social scientific journals, and is the author of a critically acclaimed book on the root causes of polarization in American government.
As well as being a tenured professor, Andy is deeply embedded in the tech industry, where he has advised senior leaders in policy, product, and business teams on a range of strategy and policy issues. This includes work to measure user preferences, assign users voting power over consequential decisions, leverage crowdsourcing, and give users incentives to participate in shared governance. Currently, Hall serves as an advisor to the Wearables Business Group at Meta Platforms, Inc, where he works on strategy problems at the intersection of AI, AR, and social media, and to the a16z crypto research group, where he helps crypto companies to design their decentralized governance structures.
At the GSB, Andy helps to lead the Business and Beneficial Technology initiative. He teaches courses on how organizations can build trust in a divided world, and on the future of democracy and tech governance. He received his B.A. in Economics and Classics from Stanford University, and his A.M. in Statistics and Ph.D. in Political Science from Harvard University.
Sean Westwood
Sean J. Westwood is an Associate Professor in the Department of Government at Dartmouth College and a Visiting Fellow at the Hoover Institution, Stanford University. He is an expert on survey research, political behavior and public opinion. His work shows how partisanship, political polarization, and information from political elites affect the behavior of citizens. He has published dozens of peer-reviewed articles in leading social scientific journals, including the Proceedings of the National Academy of Sciences, Science Advances, American Political Science Review, Nature Human Behavior, and the American Journal of Political Science.
As Director of the Polarization Research Lab at Dartmouth College, he leads initiatives that develop academic and citizen tools to study and understand political polarization. Sean’s work and commentary are frequently featured in prominent media outlets, including The New York Times, The Washington Post, and The Wall Street Journal. He advises foundations and technology organizations on measuring and mitigating partisan hostility and regularly briefs policymakers and the media on the health of American democracy.
Sean received his Ph.D. and M.A. from Stanford University, an M.S. from The London School of Economics and Political Science, and a B.A. from the University of Nevada.