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Storyboard artist and 2D animator known for work on the independent series HEATHENS, The Amazing Digital Circus, and Rational Animations’ YouTube videos.

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Columbia University is an Ivy League research university in New York City with significant AI safety, governance, and policy research activity across multiple schools and centers.

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President and CEO of Foresight Institute, directing programs in AI, longevity biotechnology, molecular nanotechnology, neurotechnology, and space; founder of ExistentialHope.com, co-editor of Superintelligence: Coordination & Strategy, and co-author of Gaming the Future.

Sofia Jativa Vega (also known as Sofy) is a computational neuroscientist and AI researcher currently serving as a Technology and Security Policy Fellow at RAND in California. She completed her PhD at UCL's Gatsby Computational Neuroscience Unit in 2020, where her thesis — 'A second look at memory: Different Approaches to Understanding Diversity in Memory and Cognition' — explored episodic and working memory systems using reinforcement learning and information-theoretic analyses. In 2020, she received a Long-Term Future Fund grant to develop a research project on inferring humans' internal mental models from their behaviour using cognitive science modeling, in collaboration with Stuart Armstrong at the Future of Humanity Institute. Her career has spanned roles at the AI Objectives Institute, Buck Institute for Research on Aging, Causative Labs, and Lionheart Ventures, reflecting broad engagement with AI alignment, longevity science, and technology policy.

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Pause House is a residential community in Blackpool, UK, that provides free housing and stipends to activists working toward a global pause on AGI development.

Sam Clarke is a researcher working at the intersection of AI safety and AI governance. He studied computer science and philosophy at Oxford University, including a master's thesis applying Deep Bayesian Active Learning to the reward modeling approach to AI alignment. In late 2020 he relocated from New Zealand to Cambridge to work as a research assistant at the Leverhulme Centre for the Future of Intelligence, supporting Jess Whittlestone's work on mid-term AI impacts, which led to their co-authored paper 'A Survey of the Potential Long-term Impacts of AI' (AIES 2022). He subsequently held a researcher role at the Centre for the Study of Existential Risk (CSER) at the University of Cambridge, and later became Strategy Manager at the Centre for the Governance of AI (GovAI) in Oxford, where he researches actionable questions related to AI governance field-building strategy. He has also co-authored a chapter on the history of AI existential safety in 'The Era of Global Risk' (2023) and has written on the longtermist AI governance landscape, talent needs, and AI risk scenarios on the EA Forum and LessWrong.

Argentine nonprofit conducting interdisciplinary research to advance frontier AI safety, embedded within the Laboratory of Innovation and Artificial Intelligence at the University of Buenos Aires.

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Associate Professor of Statistics and EECS at UC Berkeley, affiliated with BAIR and CLIMB, and Founder & CEO of the nonprofit research lab Transluce; his research focuses on ensuring that machine-learning systems are understood by and aligned with humans.

Robert F. Trager is Co-Director of the Oxford Martin AI Governance Initiative, International Governance Lead at the Centre for the Governance of AI, and Senior Research Fellow at the Blavatnik School of Government at the University of Oxford. He is a recognised expert in the international governance of emerging technologies, diplomatic practice, institutional design and technology regulation, and has authored books and numerous articles in leading social science journals.

One of Germany's oldest and most prestigious research universities, founded in 1477 and designated a University of Excellence, hosting leading AI and machine learning research groups including the Tübingen AI Center and the Cluster of Excellence in Machine Learning.

Spencer Case is a Research Fellow at Sentience Institute with a PhD in philosophy from the University of Colorado Boulder and experience as an international research fellow at Wuhan University. His work focuses on debates about moral realism and other topics in moral and political philosophy, he is coauthor of the book Is Morality Real? A Debate and is working on a second book, Why Its OK to Be Patriotic, in addition to publishing essays in outlets such as National Review and Quillette and hosting the Micro-Digressions philosophy podcast.

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Noam Kolt is an Assistant Professor at the Hebrew University of Jerusalem’s Faculty of Law and School of Computer Science and Engineering, where he leads the Governance of AI Lab (GOAL). His research focuses on the governance of AI, automation in the legal system, and institutional design for advanced AI, including the governance of autonomous agents and empirical evaluations of legal alignment. Kolt completed his doctorate at the University of Toronto, where he served as a research advisor to Google DeepMind and was a member of OpenAI’s GPT-4 red team, and he now holds affiliate roles with institutes such as the Schwartz Reisman Institute for Technology and Society and the Institute for Law & AI.

Satvik Golechha is a Research Scientist at the AI Security Institute (AISI), a directorate of the UK Department for Science, Innovation and Technology, where he works on frontier alignment, mechanistic interpretability, and reinforcement learning. He completed a B.E. in Computer Science from BITS Pilani, India, and previously worked as a researcher at Microsoft Research and as an Associate Research Scientist at Wadhwani AI on applied machine learning for healthcare. He participated in the MATS Summer 2024 program under mentor Nandi Schoots, working on neural network modularity in the interpretability stream, and also conducted independent research at the Center for Human-Compatible AI (CHAI) at UC Berkeley. His published work includes "Challenges in Mechanistically Interpreting Model Representations" (arXiv 2024), "Training Neural Networks for Modularity aids Interpretability" (arXiv 2024), and "Intricacies of Feature Geometry in Large Language Models" (ICLR 2025), as well as collaborative research with Anthropic on auditing language models for hidden objectives. He received a Long-Term Future Fund grant to work on safe and robust reasoning via mechanistic interpretation of model representations.

A 501(c)(3) nonprofit that educates the American public and traditional societal institutions about AI safety through free in-person workshops nationwide.

Dr. Rand Waltzman is an adjunct senior information scientist at the RAND Corporation whose work focuses on artificial intelligence and cognitive security in the information environment. He has decades of experience managing AI research applied to domains such as social media and influence operations, and previously served as acting chief technology officer at Carnegie Mellon University’s Software Engineering Institute and as a program manager at DARPA responsible for the Social Media in Strategic Communications program.

Liz Specht is an Emerging Technology Fellow with Horizon’s Executive Branch track, currently placed at the Defense Advanced Research Projects Agency. She previously served as an Executive Branch fellow at the Emerging Technologies Institute and as Senior Vice President of Science and Technology at the Good Food Institute. She holds a B.S. in chemical and biomolecular engineering from Johns Hopkins University and a Ph.D. in biological sciences from the University of California San Diego.

Brian Tan is a co-founder and Operations Director of WhiteBox Research, an AI safety nonprofit based in Manila, Philippines, that trains early-career researchers in mechanistic interpretability. He co-founded WhiteBox in August 2023 alongside Clark Urzo and Kriz Tahimic, and leads the organization's operations, marketing, and project management. He also serves as an Operations Associate at Arcadia Impact, a UK nonprofit focused on AI safety and governance. Brian co-founded Effective Altruism Philippines in 2018 and worked full-time to grow the chapter in 2021, before supporting EA communities globally as a Group Support Contractor at the Centre for Effective Altruism from 2022 to 2023. He holds a degree in IT Entrepreneurship from Ateneo de Manila University, where he graduated as a Merit Scholar in 2019. WhiteBox Research's flagship AI Interpretability Fellowship runs for five months in person in Manila, with the goal of building AI safety research capacity in Southeast Asia.

Patrick Leblond is a CIGI senior fellow and CN–Paul M. Tellier Chair in Business and Public Policy at the University of Ottawa, specializing in international economic governance, including trade, financial and monetary integration, banking regulation and regional economic agreements.

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Federico Speziali is co-founder of High Impact Professionals and works as a monitoring and evaluation manager at Ambitious Impact. His work focuses on effective giving, incubation programmes, and helping professionals and donors channel resources to high-impact charities.

Sarah is a product lead and full‑stack software engineer at Giving What We Can, supporting product development and maintaining the organisation’s technical infrastructure.

Roman V. Yampolskiy is a computer scientist and AI safety pioneer who serves as a tenured Associate Professor at the University of Louisville and as founder and director of its CyberSecurity Lab. He coined the term AI safety in a 2011 publication and is recognized as a founding researcher in the field, known for work on AI containment, AI safety engineering, and the theoretical limits of AI controllability. His research has been cited by over 10,000 scientists, featured in more than 1,000 media reports across 30 languages, and he has authored over 200 publications on artificial intelligence, cybersecurity, and behavioral biometrics.

Research Scholar at ILINA focusing on legal approaches to accountability and evaluation in the safe development and deployment of highly capable AI, and a Researcher at the University of Cape Town African Hub on AI Safety, Peace and Security; she is also a Legal Fellow at the AI Whistleblower Initiative and holds a first‑class undergraduate law degree from Strathmore University.

A long-form interview podcast by Dwarkesh Patel featuring deeply researched conversations with leading AI researchers, scientists, historians, and economists on topics including AI safety, AGI timelines, and the future of technology.

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Laurens Prins serves on LASST’s board of directors. He is a Dutch legal professional who has worked in private practice at international law firms, in-house at a major energy company, and as a judge in the Netherlands.

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Ella McIntosh is the Managing Director at the Effective Institutions Project, working closely with the CEO on strategic initiatives and external relations while ensuring the organization’s systems run effectively. She was one of EIP’s first employees and holds an MSc in International Social and Public Policy from the London School of Economics.

Co-founder and former President of Foresight Institute; futurist who writes and lectures on nanotechnology, artificial intelligence, and life extension; co-author of Unbounding the Future and Leaping the Abyss and coiner of the term "open source software".

AI Policy Bulletin is a peer-reviewed digital magazine publishing policy-relevant perspectives on frontier AI governance, aimed at informing policymakers and the broader AI policy community.

Ozzie Gooen is the Executive Director and founder of the Quantified Uncertainty Research Institute (QURI), a nonprofit focused on advancing forecasting, probabilistic reasoning, and epistemics to improve long-term decision-making. He studied General Engineering with a concentration in Economics at Harvey Mudd College (class of 2012). Before founding QURI in 2019, he created Guesstimate (2016), a probabilistic spreadsheet tool widely used in EA cause prioritization, was a Research Scholar at Oxford's Future of Humanity Institute, worked at 80,000 Hours, and co-founded .impact (2013), an online collective for EA projects. At QURI, he has led the development of Squiggle, an open-source estimational programming language designed for building probabilistic models, as well as Squiggle Hub, a collaborative platform for sharing and running Squiggle models. He was a guest fund manager for the Long-Term Future Fund in 2021 and is an active contributor to LessWrong and the EA Forum on topics of forecasting, epistemics, and AI risk.

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Executive Director of the Transformative Futures Institute and Assistant Professor of Business Analytics at Wichita State University, whose research applies forecasting and foresight methods to technological progress, transformative AI, and existential risk.

Harold Figueroa is co-founder of the Berryville Institute of Machine Learning and director of the Machine Intelligence Research and Applications (MIRA) Lab at an intelligence community contractor, where he leads efforts to integrate advances in machine learning, AI, language sciences, and network science into operational products. His background includes applied mathematics research and work at the Cornell Lab of Ornithology developing widely used acoustic environmental monitoring tools.

Luke Freeman is the COO of Good Ancestors, working on policy responses to AI safety, pandemic risks, and catastrophic disasters. Previously he served as CEO of Giving What We Can, led and founded technology and charitable organisations including the edtech company FLUX and the research recruitment platform Positly, and has more than a decade of experience in tech, marketing, and effective giving.

Phil Lunn is the founder and CEO of Plator Consulting (Plator AI), where he helps organizations adopt AI and data‑driven decision‑making. With nearly four decades of experience across product management, marketing, sales, and management consulting, he focuses on using AI to drive growth and to help businesses and professionals adapt to technological change.

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