Matthew Botvinick is Senior Director of Research and Senior Technology and Policy Advisor at Google DeepMind. Matt joined DeepMind in 2016 after twenty years in academia, starting with a Ph.D. in AI and computational neuroscience from Carnegie Mellon University, followed by faculty positions at University of Pennsylvania and Princeton University. He has authored more than 140 peer reviewed articles, spanning AI, deep learning, reinforcement learning, cognitive science and computational neuroscience. Matt is Honorary Professor at the Gatsby Computational Neuroscience Unit at University College London and a Fellow of the Cognitive Science Society. He holds an M.D. from Cornell University with board certification in Psychiatry, as well as an M.A. in Art History from Columbia University. Alongside his work at Google DeepMind, Matt is currently pursuing doctoral studies at Yale Law School.
Michelle DiMartino is a Senior Advisor, Digital at the Behavioral Insights Team (BIT). Michelle leads many BIT projects focused on designing, improving, and evaluating digitally-focused social impact interventions with a range of public and private sector partners. She has led BIT’s tech governance work on “Community Forums” with Meta over the last three years, which involved public consultations with users about important online conduct and content moderation policies; the most recent Community Forum Michelle worked on centered the principles underlying responsible AI development.
Tyna Eloundou is a member of the Technical Staff at OpenAI, where they lead the effort to provide democratic input to AI, and previously have led research efforts on model safety. They are interested in reinforcement learning, decision theory, and distributed systems. Before joining OpenAI, they worked as a research programmer at the RAND Corporation and as an associate economist at the Federal Reserve Bank of Chicago. They co-wrote “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models,” which assesses the scope of the effects of Large Language Models on the workforce and estimates the effects of widespread AI adoption on jobs.
Mahmud Farooque is the Associate Director of the Consortium for Science, Policy and Outcomes (CSPO), and a Clinical Professor in the School for the Future of Innovation in Society (SFIS) at Arizona State University. Mahmud’s work focuses on making science and technology more socially useful and democratic. Mahmud is the principal coordinator of Expert and Citizen Assessment of Science and Technology (ECAST) – a distributed network of universities, science centers, and policy research organization for engaging the public in science and technology policy and decision-making. Since 2010, with support from U.S. Federal agencies such as NASA, NOAA and NIH and philanthropies such as the Kettering and Sloan Foundations, ECAST has organized more than 50 informed and inclusive public deliberations across the country on issues from biodiversity and planetary defense to community resilience, climate intervention research, autonomous vehicles, Internet governance, and human gene editing.
Isabelle Ferreras is FNRS Professor of Sociology at the University of Louvain, member of the Belgian Royal Academy (section Technology and Society), Visiting Fellow at the Oxford Institute for Ethics in AI, and Senior Research Associate of the Center for Labor and a Just Economy at Harvard Law School where she heads the program on www.DemocratizingWork.org. Her research focuses on the work experience, and analyzing firms as political entities situated at the core of the contradiction between capitalism and democracy. She has designed the idea of Economic Bicameralism in order to integrate corporate governance into the trajectory of democratic history. Among her main publications in English include: Firms as Political Entities: Saving Democracy through Economic Bicameralism (Cambridge University Press, 2018), co-edited with Julie Battilana and Dominique Méda: Democratize Work: The Case for Reorganizing the Economy (University of Chicago Press, 2022), with Helene Landemore: “In Defense of Workplace Democracy,” (Political Theory, 2016), and forthcoming, co-edited with Tom Malleson, Joel Rogers: Democratizing the Corporation: The Bicameral Firm and Beyond(Verso, March 2024).
Kevin Feng is a 3rd-year PhD student in the Human Centered Design & Engineering department at the University of Washington. His research lies at the intersection of social computing and interactive machine learning. Specifically, he develops novel interactive interfaces and tools to improve the adaptability of large-scale, AI-powered sociotechnical systems, with an emphasis on respecting user agency. His work has appeared in numerous premier academic venues in human-computer interaction including CHI, CSCW, FAccT, and DIS, and has been featured by OpenAI, UW News, and the Montréal AI Ethics Institute. He is the recipient of a 2022 UW Herbold Fellowship and has previously interned at Microsoft Research and Microsoft’s Azure Machine Learning division. He holds a BSE in Computer Science, with minors in visual arts and technology & society, from Princeton University.
James S. Fishkin holds the Janet M. Peck Chair in International Communication at Stanford University where he is Professor of Communication, Professor of Political Science (by courtesy) and Director of the Deliberative Democracy Lab. He is the author of Democracy When the People Are Thinking (Oxford 2018), When the People Speak (Oxford 2009), Deliberation Day (Yale 2004 with Bruce Ackerman) and Democracy and Deliberation (Yale 1991). He is a Fellow of the American Academy of Arts and Sciences, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in the Behavioral Sciences at Stanford, and a Visiting Fellow Commoner at Trinity College, Cambridge. His work on deliberative democracy has stimulated more than 150 Deliberative Polling® experiments in over 50 countries and jurisdictions. It has been used to help governments and policy makers make important decisions in Texas, China, Mongolia, Japan, Macau, South Korea, Bulgaria, Brazil, Uganda and other countries around the world.
Bryan Ford is a Professor of Computer Science at Swiss Federal Institute of Technology (EFPL), where he leads the Decentralized/Distributed Systems lab. He specializes in privacy, decentralized systems, and blockchain technology. In addition to his extensive technical work, he has written about applications of computer science to democracy by developing technical perspectives to electronic voting, digital citizenship, and liquid democracy. He argues that technology determines governance more than governance determines technology and that AI should only be used for the most value-neutral tasks in a democracy.
Alan Gerber is Sterling Professor of Political Science, director of the Institution for Social and Policy Studies, and professor of economics and of and statistics and data science at Yale University. He also has affiliations in the Yale School of Public Health and the Jackson School of Global Affairs. Previously he was appointed the Faculty of Arts and Sciences divisional director for the social sciences and became the inaugural FAS dean of social science, serving in this role from 2014 to 2021. His current research focuses on the political economy of evidence production and use in public policy and organizations. He has published extensively on the application of experimental methods to the study of campaign communications, and he has designed and performed experimental evaluations of many political communications programs, both partisan and non-partisan in nature. His book on field experiments, co-authored with Donald Green, is a widely used resource for researchers seeking to apply field experimental methods to problems in the social sciences.
Mark Gorton is the founder of Tower Research Capital, a trading and technology company that has built some of the fastest, most sophisticated electronic trading platforms in the world. In addition to Tower, Mark has launched a diverse constellation of companies and green advocacy organizations including LimeWire and OpenPlans. Prior to founding Tower, Mark worked as a fixed income proprietary trader at Credit Suisse First Boston. He began his career as an engineer at Martin Marietta, specializing in digital signal processing and speech recognition. Mark graduated from Yale University with a B.S. in electrical engineering and earned an M.S. in electrical engineering from Stanford University and an M.B.A. from Harvard Business School.
Dr. Caroline Green is an Early Career Research Fellow at the Institute for Ethics in AI (Human Rights/AI), University of Oxford. Caroline’s work focuses on the intersections of human rights, AI and private corporations as well as on the ethics of AI in social care.
Jacob S. Hacker is Stanley Resor Professor of Political Science, Co-Director of the Ludwig Program in Public Sector Leadership at Yale Law School, and Director of the American Political Economy eXchange (APEX) at the Institution for Social and Policy Studies. An expert on American politics and policy, he is the author or co-author of more than a half-dozen books, numerous journal articles, and a wide range of popular writings. He is known for his pioneering researcher in the field of “American Political Economy,” which analyzes the unique features of the interplay between markets and politics in the United States, and for his work on the American healthcare system and the politics of U.S. social policy. His books include The Divided Welfare State: The Battle over Public and Private Social Benefits in the United States, The Great Risk Shift: The New Economic Insecurity and the Decline of the American Dream, and (with Paul Pierson) Winner-Take-All Politics: How Washington Made the Rich Richer—And Turned Its Back on the Middle Class. His latest book, also with Pierson, is Let Them Eat Tweets: How the Right Rules in an Age of Extreme Inequality (2020).
Royal Hansen is the Vice President of Privacy, Safety, and Security Engineering at Google where he leads the engineering teams that address threats to information security on Google’s products. In June 2023, he introduced Google’s Secure AI framework (SAIF), which outlines six ways that Google engineers are improving the security of Google’s AI system and ways that Google is working to increase cooperation and transparency with its customers. In October 2023, he announced a new open source security program that rewards people who identify and report vulnerabilities with Google’s AI products. Prior to working at Google, he was Executive Vice President of Enterprise IT Risk and Information Security at American Express and Global Head of Application Security, Data Risk and Business Continuity Planning at Goldman Sachs.
Sir Oliver Hart is currently the Lewis P. and Linda L. Geyser University Professor at Harvard University, where he has taught since 1993. He is the 2016 co-recipient of the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. Hart’s research centers on the roles that ownership structure and contractual arrangements play in the governance and boundaries of corporations. His recent work focuses on how parties can write better contracts, and on the social responsibility of business. He has published a book (Firms, Contracts, and Financial Structure, Oxford University Press, 1995) and numerous journal articles. He has used his theoretical work on firms and contracts in several legal cases. He is a Fellow of the Econometric Society, the American Academy of Arts and Sciences, the British Academy, and the American Finance Association, a member of the National Academy of Sciences, a Distinguished Fellow of the American Economic Association, and has several honorary degrees. He has been president of the American Law and Economics Association and a vice president of the American Economic Association. He was made a Knight Bachelor in the King’s Birthday Honours List, 2023.
Yichen (Lesley) Ho is a Systems Analyst at the Ministry of Digital Affairs in Taiwan. She assists in the implementation of the Alignment Assemblies project, utilizing Taiwan as a demonstration field and employing a model of citizen participation and deliberation to shape the direction of AI development.
Wendy Hsueh is a Project Planner in the Ministry of Digital Affairs in Taiwan where she assists the Ministry of Digital Affairs in the promotion of AI review and alignment projects, including the democratization of AI in the future.
Colin Irwin is an aquanaut, Arctic explorer and social scientist. He completed his PhD at Syracuse University in 1985 with a thesis on the Canadian Inuit and how they developed a society without war. By applying the Inuit principals of inclusive consensus decision making to public opinion polls he was able to help the parties elected to peace negotiations in Northern Ireland bring an end to their civil war in 1998. Since then he has worked for Governments, NGOs and the UN applying these lessons in the Balkans, Israel and Palestine, Kashmir, Sri Lanka, Sudan, Syria and Cyprus. Most recently, in collaboration with Remesh AI and the UN’s Innovation Cell, these same principals have been applied in Yemen, Libya and Iraq using Artificial Intelligence to create mappings of consensus with up to a thousand participants in real time digital dialogues. Analysis, questionnaires, books and reports are available on his website at www.peacepolls.org.
Andrew Konya is the co-founder and chief scientist of Remesh. His work focuses on building and using deliberative technology to align governments, companies, peacekeepers, and AI with the stakeholders they impact.
Teddy Lee is a Product Manager at OpenAI on the Collective Alignment Team, which focuses on developing processes and platforms for enabling democratic inputs for steering AI. Previously, Teddy was a founding member of OpenAI’s Human Data team, which focuses on improving OpenAI’s models with human feedback, and has also helped to develop content moderation tooling in the OpenAI API. He has previously held roles at Scale AI, Google, and McKinsey. He serves as the President of the MIT Club of Northern California, the alumni club for 14,000+ Northern California-based MIT alumni, and is a member of the MIT Alumni Association Board of Directors. Teddy holds a BS in Electrical Engineering from Stanford, an MS in Management Science & Engineering from Stanford, and an MBA from MIT Sloan.
Liane Lovitt is a Public Policy Manager at Anthropic, covering the intersection of Anthropic’s technical safety research and public policy engagement. Previously, she worked at Google Cloud on the international policy aspects of technical infrastructure expansion projects (subsea cables and data centers). Prior to that, she led product policy at Stripe. She holds a Bachelor’s degree from Stanford University and a Master’s degree from the University of Oxford where she studied the social and ethical implications of emerging technologies.
Matthew Meyers is a senior in Yale College studying political science and statistics & data science who works as a research assistant on the Governing X conference series. He is the coordinator of the Democratic Innovations undergraduate program at the Institution for Social and Policy Studies (ISPS) and leads a student research group studying the effectiveness of democratic technologies such as polis for creating deliberative democracy with potential for mass participation. His senior thesis is on the relationship between technological development and the effectiveness of democratic institutions. He is also a Dahl Scholar at the ISPS where he is researching the potential to create online, dynamic deliberative technologies for use by the US Congress and other legislative bodies in their public input processes. He has also worked on the “Voices of the Future” and “America in One Room: Climate and Energy” deliberative polls and interned in the United States Senate and United States Treasury Department.
Rohini Pande is the Henry J. Heinz II Professor of Economics, Director of the Economic Growth Center, and Director of Inclusion Economics at Yale University. Pande’s research is largely focused on how formal and informal institutions shape power relationships and patterns of economic, political, and envrionmental advantage in society, particularly in developing countries. She is interested in the role of public policy in providing the poor and disadvantaged political and economic power, and how notions of economic justice and human rights can help justify and enable such change.
Dr. Lex Paulson is Executive Director of the UM6P School of Collective Intelligence (Morocco) and lectures in advocacy at Sciences Po-Paris. Trained in classics and community organizing, he served as mobilization strategist for the campaigns of Barack Obama in 2008 and Emmanuel Macron in 2017. Legislative counsel in the 111th U.S. Congress (2009-2011), he organized on six U.S. presidential campaigns and has worked to advance democratic innovation at the European Commission and in India, Tunisia, Egypt, Uganda, Senegal, Czech Republic and Ukraine. Dr. Paulson is author of “Cicero and the People’s Will: Philosophy and Power at the End of the Roman Republic” (2022), and is co-editor of the “Routledge Handbook of Collective Intelligence for Democracy and Governance” (2023).
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Shir Raviv is a postdoctoral researcher at the Data Science Institute at Columbia University and a non-resident fellow at the Democratic Innovations Program at ISPS. Her research focuses on the politics of AI and the public debate over its regulation. She uses surveys and field experiments to explore the conditions under which citizens are willing to accept the use of AI across high-stakes policy domains and how these views change over time as people become more engaged with the technology and its implications.
Manon Revel is a Harvard Fellow who researches reviving democratic governance online and offline. At the intersection of applied mathematics and political philosophy, she investigates how to augment today’s democracy with liquid democracy and sortition, and how to build tomorrow’s democracy through collective AI alignment. She graduated from MIT in 2023 with a PhD in Social and Engineering Systems and Statistics.
Kris Rose is the Head of Governance Insights at Meta, where he works across the company to drive thought on emerging trends at the intersection of technology, society, and governance. Prior to this role, Kris helped launch the company’s Oversight Board, served as a geopolitical analyst at the Central Intelligence Agency for a decade—to include a secondment as the President’s Daily Brief (PDB) briefer to then US Vice President Mike Pence—and most recently served as a Senior Advisor at the Cybersecurity & Infrastructure Security Agency (CISA) during the Biden administration. Kris holds a Master’s in Public Policy from Georgetown University and is a Term Member with the Council on Foreign Relations.
Alice Siu is a Senior Research Scholar at Stanford’s Center for Democracy, Development, and Rule of Law and the Associate Director of Deliberative Democracy Lab, home to Deliberative Polling and a leading research lab of deliberative democracy. She is the namesake and voice for the AI-assisted Stanford Online Deliberation Platform used in their online Deliberative Polls. Among other projects, she led the implementation of America in One Room, an ambitious project to create nationwide deliberations in the United States, and the Meta Community Forums, a research endeavor to better understand how governance of digital technologies. She also serves as a board advisor to The Generation Lab, Close Up Foundation, advisor to Neutronian, and the Honorary Director of Deliberation and Panel Studies at Hong Kong Public Opinion Research Institute.
Andrew Sorota is a research associate at Schmidt Futures, where he has worked on the teams of Eric Schmidt and Fareed Zakaria since graduating from Yale with a BA in Political Science and Philosophy in 2022. His main research interests are populism and democratic innovations. He wrote “Why picking citizens at random could be the best way to govern the A.I. revolution” for Fortune Magazine with Helene Landemore and Audrey Tang.
John Tasioulas is a moral and legal philosopher who serves as the inaugural director of the Institute for Ethics in AI at Oxford University, an interdisciplinary research center at Oxford that focuses on the relationship between AI and democracy, governance, human rights, human well-being, the environment, and society at large. His most recent works on the Philosophy of AI include “The rule of algorithm and the rule of law,” which discusses the complexity of applying algorithms to judicial decisions, “Artificial Intelligence, Humanistic Ethics”, which outlines a humanistic approach to the ethics of AI, and “First steps towards an ethics of robots and artificial intelligence,” which outline a framework to evaluate ethical questions posed by AI. He is also a member of the Greek Prime Minister’s High-Level Committee on Artificial Intelligence and the European Parliament’s International Advisory Board, Panel for the Future of Science and Technology (STOA). Prior to his work on the ethics of AI, his research focused on the philosophy of human rights, international law, and punishment.
Philippa Webb is a Professor of Public International Law at King’s College London, where she co-directs the Centre for International Governance and Dispute Resolution (CIGAD). She is primarily interested in international courts, human rights law, the law of immunity, and international criminal law. Her notable works include The Right to a Fair Trial in International Law (co-authored with Amal Clooney), Freedom of Speech in International Law (co-authored chapters on false speech and political speech) and The Law of State Immunity (co-authored with Hazel Fox).
Luigi Zingales is the Robert C. McCormack Distinguished Service Professor of Entrepreneurship and Finance at the University of Chicago Booth School of Business. In 2014 he served as President of the American Finance Association. In July 2015 he became Director of the Stigler Center at the University of Chicago. His interests span from corporate governance and financial development to political economy and the economic effects of culture. He has published extensively in the major economics and financial journals, and wrote two best-selling books: Saving Capitalism from the Capitalists (2003) with Raghu Rajan, and A Capitalism for the People (2012). Since 2018, he has co-hosted the podcast Capitalisn’t, which explores how capitalism can go wrong and what we can do to fix it. Zingales received a bachelor’s degree in economics summa cum laude from Università Bocconi in 1987 and a PhD in economics from the Massachusetts Institute of Technology in 1992.