Aidan is a Research Scholar at the Centre for the Governance of AI on the Risk Management Team. He is particularly interested in safety frameworks and external assurance. Before joining GovAI he advised New Zealand policymakers on AI policy.

Aris is a RAND Technology and Security Policy Scholar, completing her PhD in policy analysis at the RAND School of Public Policy. Her work focuses on the geopolitics of advanced generative AI.

Belinda is the Director of Policy at the Simon Institute for Longterm Governance (SI), where she has synthesized research and developed policy recommendations for the multilateral system to ensure the safe development of transformative technologies, focusing on the governance of AI. Prior to that, she was the Head of Research and Innovation at the International Organization for Standardization (ISO).

Ben studies the potential for artificial intelligence to trigger a world war and how to prevent that from happening. His work focuses on the theory and history of political negotiations that take place in the shadow of violence. As a social scientist, his strongest methodological areas are formal theory, quantitative analysis, and process tracing.

Bessie works in strategy and delivery for UK AI Safety Institute, within the Criminal Misuse (Societal Impacts) team. She was a Visiting Fellow at the Centre for the Governance of AI, where she worked with the leading UK cross-party think tank Demos on developing technical and policy approaches to AI openness. She has also been affiliated with the Blavatnik School of Government since 2021.

Cara is a Senior Researcher on the Frontier Security team at IAPS with a background in the intersection of technology and national security. Prior to joining IAPS, Cara worked in the Global Technology Practice of Beacon Global Strategies, a national security advisory firm based in Washington, D.C. In this role, she helped leading technology companies navigate both the U.S. and global tech governance landscapes, align R&D efforts with national security priorities, and enhance policymakers’ understanding of emerging technologies.

Charles is the President of Meridian Research Labs, a nonprofit organization dedicated to frontier AI research and testing tools. He previously worked on model evaluations as a TASP Fellow at RAND Corporation. Prior to his work focused on AI evaluations, Charles was a founder of a variety of software companies.

David has published widely in natural language semantics, ontology, and epistemology. He currently works on philosophical issues connected with human reasoning, future technology, and global priorities.

Edward is a final year PhD student in the Computational and Biological Learning Group at the University of Cambridge Engineering Department. His PhD research focuses on representation learning in recurrent neural networks under biological learning rules. He participated in ERA 2024, looking at moral reasoning in LLMs. He has previously mentored research projects on control protocols for persuasion and manipulation, steganographic communication in LLMs, and misalignment propensity evaluations.

Erich is a researcher on the compute policy team at the Institute for AI Policy and Strategy (IAPS), where his work focuses on export controls and AI infrastructure security. He previously worked as a software engineer and earned a BSc in computer engineering and an MSc in interaction design from Chalmers University of Technology.

Fazl is a Senior Research Fellow at the University of Oxford, affiliated with TVG at Engineering Sciences and AIGI at Martin School.

Hamza is AI and National Security Lead at the Future of Life Institute. Based in Washington DC, he is leading federal government engagement on AI and national security risks, including AI intersection with WMD and cyber capabilities, AI integration into military systems, and compute security.

Herbie is a PhD student at the University of Cambridge studying synthetic data generation with LLMs. Herbie was recently at the UK AI Security Institute, and now works with a variety of thinktanks and governments on AI policy research. His research interests are in AI's impact on the economy and how we can use AI defensively to make the world more resilient to the effects of increasingly capable AI.

John is a Senior Research fellow at the University of Cambridge. His work focuses focuses on the challenges of evaluating the capability and generality of AI systems. John has a PhD in Computer Science with research focused on Reinforcement Learning.

Kevin is a Senior Tech Policy Specialist at the Simon Institute for Longterm Governance, focusing on AI governance in the UN and the broader multilateral system. Before that, Kevin has worked for the Global Risks team of the World Economic Forum, and as a Senior Researcher at the Center for Security Studies at ETH Zurich, conducting policy-oriented research on technology policy, disaster risk management and strategic foresight.

Kevin (he/they) is a Fellow in RAND's Technology & Security Policy Center (TASP), where they research the science of AI evaluations, U.S. AI policy, and technical AI governance. Previously, Kevin was a Schwarzman Scholar in Beijing (researching Chinese AI policy), a Summer Fellow at the Centre for the Governance of AI, and a Senior Marketing Manager at cloud infrastructure provider DigitalOcean.

Lewis is co-director of the Cooperative AI Foundation and a DPhil candidate in computer science at the University of Oxford. His research concerns safety and cooperation in multi-agent systems, motivated by the problem of ensuring that AI and other powerful technologies are developed and governed safely and democratically.

Michael is a Research Associate at the University of Cambridge, affiliated with the Prorok Lab and Trinity College. His research interests include agent and multi-agent systems, with a focus on safety, interpretability, and formal guarantees.

Michael works on AI policy and standards at METR, advising and engaging with AI companies on evaluations-based safety policies. He has contributed to research on AI deception and AI R&D automation covered in outlets like The Guardian and Time. He previously worked on engineering at Stripe.

Oscar researches international AI governance, especially US-China AI safety dynamics and possible areas of cooperation, at the Institute for AI Policy and Strategy (IAPS). Previously, he has worked in biosecurity, technical AI evals, and quant trading.

Peter is the co-founder and Chief Advisory Executive at IAPS. He also co-founded Rethink Priorities, a research and implementation group identifying high-impact opportunities to improve the world. Peter is a professional forecaster with interests in geopolitics, global conflict, emerging technology, and elections.

Robert is the Associate Director of CodeX—the Stanford Center for Legal Informatics—where he focuses on leading practice-oriented, interdisciplinary research at the intersection of AI and law. He holds a JD-PhD in Legal Artificial Intelligence from MIT and Harvard Law School, training that anchors his dual fluency in computer science and legal doctrine.

Sam is a Research Engineer on the Cyber and Autonomous Systems Team at the UK AI Security Institute. His work focuses on developing methods and evaluations to assess the cyber capabilities of frontier models.

Shawn is an American law professor with significant experience in computer science. His legal research focuses on company law, contract law, and tort law; in those areas, he has critiqued legal-economic arguments and developed new transactional techniques to help the law interface with technology. As a computing researcher decades ago, he created the Central Authentication Service, a framework that is still widely used by universities and other organizations.

Shi is an assistant professor at GWU working on AI safety. His recent work focuses on mitigating risks of sabotage in eval and control, exploring concepts like deception, collusion, and honesty. He works on both scalable oversight and alignment methods that work around it, e.g., unsupervised elicitation. In the past, he worked on adversarial robustness and interpretability.

Tobin leads AI Agents at WorkOS building enterprise-ready MCP & agent tools, and a research fellow at Stanford University leading research for the Loyal Agents initiative in HAI. Tobin completed his PhD at MIT in 2025 on "Private, Verifiable, and Auditable AI Systems", where he was a senior fellow with the E14 VC fund. Tobin was an Australian-American Fulbright Future Scholar for his time at MIT, a Pivotal Fellowship mentor, and an author of the 2025 International AI Safety Report.

Winnie is a Senior Researcher on the Google Paradigms of Intelligence Team and a fellow at the Institute of Philosophy, University of London. Her research combines philosophical and empirical approaches to questions of AI cognition, consciousness and moral status, and their implications for AI ethics and safety. She previously worked as a software developer, and researched human-computer interaction problems at the intersection of privacy, trust and ambient computing.

Chris Byrd is a Technology and Security Policy Fellow at the RAND Corporation, specializing in AI governance, US-China relations, and defense policy. His current interests include AI export controls and full-stack cybersecurity for Fronter AI datacenters, including on-chip mechanisms and related topics in compute governance. Before RAND, he conducted research on AI policy at the Defense Innovation Board, the Centre for the Governance of AI, and the Carnegie-Tsinghua Center, and as an independent researcher and consultant for various leading AI labs and government clients. He also worked for Hilary Clinton’s Presidential campaign, as a legal researcher at Westlaw, and taught middle school as a Teach for America corps. member. He completed graduate study in International Economics and Strategic Studies at Tsinghua University and Johns Hopkins SAIS. He completed his undergraduate study at Virginia Commonwealth University, double-majoring in Philosophical Logic and Ethics and Public Policy.

Krystal is a Junior AI Fellow at the Center for Security and Emerging Technology (CSET) as part of the Open Philanthropy Technology Policy Fellowship, where she conducts research into how artificial intelligence may alter cyber capabilities. She has done projects as a Public Interest Technology Fellow with the US Census Bureau on combating algorithmic discrimination, as a Tech Policy Scholar with the Cybersecurity and Infrastructure Security Agency on scaling bug bounty programs across the federal government, and, most recently, investigated ways to establish equity audits in the machine learning pipeline as a part of the FAS Day One & Kapor Center policy accelerator program. Krystal received her M.S. in Information Security Policy & Management from Carnegie Mellon University's Heinz College.

Matthew Gentzel is a graduate student at the University of Maryland studying International Security and Economic Policy and was recently accepted into the Strategic Studies Program at John’s Hopkins School of Advanced International Studies for fall 2018. He currently helps teach an applied policy and intelligence analysis class on CRISPR/Cas9 technology and has worked as an EA grantee in risk analysis on topics such as nuclear policy, AI forecasting, and strategy. Previously he studied Engineering and Statistics at the University of Maryland and founded Effective Altruism Policy Analytics, an experiment aiming for low-cost, research based policy influence via sending federal agencies cost-benefit analysis on their proposed policies.

Claire is a PhD candidate in AI law at the University of Ottawa and a Research Associate at the Artificial and Natural Intelligence Toulouse Institute. She was a Senior AI Policy Research Fellow at the Future of Life Institute where she focused on AI liability, fiduciary law, AI-enabled manipulation, and General Purpose AI systems. Before that, Claire worked at Boston University for four years, where she was a Research Scholar and a lecturer, and at Harvard University where she was a Research Fellow. Claire holds a French J.D. in international and European law, a Master in Public Policy from Harvard University, a Master’s in political science from Toulouse University, and a Bachelor in History from Paris IV Sorbonne.

Onni is an Associate Researcher at Rethink Priorities working on the AI Governance and Strategy team. His research focuses on technical means of governing AI compute. He has a BSc in computer science and an MSc in data science from the University of Helsinki.

Ashwin is an AI Governance Researcher at Rethink Priorities, leading their US regulations work. He has also done work on AI forecasting and strategy. Previously, he was a Research Associate at the Center for Security and Emerging Technology.

SJ is an Academic Programme Manager and Senior Research Associate at the Centre for the Study of Existential Risk. They have a PhD in Philosophy and also provide mentorship through Magnify Mentoring and the Effective Thesis Project.

Lauro is a PhD Student with David Krueger at the University of Cambridge. His main research interest is AGI safety: the problem of building intelligent systems that remain safe even when they are smarter than humans.

Alan is a PhD student at Mila, where he works on both technical and governance sides of AI safety. Most recently, he has been working on language model evaluations as well as elaborating key sticking points and concepts in stories of AI risk.

Shaun is a Researcher on Rethink Priorities’ AI Governance and Strategy team, working at the nexus of tech, security, and geopolitics. He is also a nonresident fellow with the Atlantic Council’s Scowcroft Center for Strategy and Security. Before RP, Shaun coordinated cyber policy for Singapore’s government under the Prime Minister’s Office, worked in Washington, DC as assistant director of the Atlantic Council’s cyber program, and served as a signaller in the Singapore Armed Forces. Shaun speaks Mandarin and holds a MA from Peking University and a BA from Washington University in St. Louis, where he studied East African history and cognitive neuroscience.

Herbie is a 2nd year PhD student at Cambridge University and research scientist at EleutherAI studying large language models. His research interests include RLHF, interpretability, evaluations, open-endedness with LLMs, and AI governance. Herbie has a strong interest in AI safety, has helped to run the 2022 Cambridge Existential Risk Initiative summer fellowship, and supervises several AI safety research projects via the Cambridge AI Safety Hub and with Cambridge masters students.

Tomek is a final-year PhD student at the University of Sussex working on aligning language models with human preferences. He’s particularly interested in reinforcement learning from human feedback (RLHF) and probabilistic programming with language models. He has spent time as a visiting researcher at NYU and FAR AI working with Ethan Perez, Sam Bowman and Kyunghyun Cho and recently worked with Owain Evans (University of Oxford) on evaluating LMs for dangerous capabilities.