Community Lead for the AI Safety Initiative at Georgia Tech and Psychology Ph.D. student who manages AISI’s meetings and socials and uses neuroscientific methods to study AI systems and brain computation.

Alignment researcher and organiser working on AI safety field-building in India, leading the Groundless Alignment Residency 2025 for Autostructures fellows to continue the Live Theory agenda and run research retreats.

A small nonprofit conducting outreach, education, and advocacy to improve institutional responses to existential risk from advanced AI. Led by Mikhail Samin and based in London.

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Stephen J. Hadley is a principal of Rice, Hadley, Gates & Manuel LLC, where he advises senior executives of major corporations on political and national security challenges in major emerging markets. He previously served as U.S. National Security Advisor from 2005 to 2009, after four years as Deputy National Security Advisor, and earlier was Assistant Secretary of Defense for International Security Policy.

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Yi Zeng is a Professor of Artificial Intelligence at the Institute of Automation, Chinese Academy of Sciences, and a Wu Yuzhang Chair Professor at the Gaoling School of Artificial Intelligence, Renmin University of China. He is the founding dean of the Beijing Institute of AI Safety and Governance (Beijing-AISI) and director of the Beijing Key Laboratory of Safe AI and Superalignment, as well as director of the International Research Center for AI Ethics and Governance and the Center for Long-term Artificial Intelligence. He serves on national and international bodies including the United Nations High-Level Advisory Body on AI and UNESCO’s Ad Hoc Expert Group on AI Ethics, and works primarily on AI safety, ethics, governance and brain-inspired AI.

Founding Partner at Lionheart Ventures and two‑time technology entrepreneur; previously co‑founded and served as CEO of corporate catering company Zesty (acquired by Square) and GroupSpaces, and has made 20+ angel investments after studying Mathematics at Oxford.

Dominic Armstrong is Podcast Technical Project Manager at 80,000 Hours. He holds a BBA and a technical degree in audio engineering, and before joining 80,000 Hours worked at an education nonprofit, taught music production, and worked as a freelance music producer and audio engineer supporting independent musicians.

Max is the Chief Growth Officer at Giving What We Can, where he leads cross‑team efforts to grow the organisation’s impact and its community of 10% and Trial Pledgers. He previously co‑founded Otrium, a company focused on solving the problem of excess inventory in fashion by creating an online marketplace for end‑of‑season clothes.

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Nathaniel B. Monson is a Founding Research Scientist at Guide Labs, a product-focused research company building inherently interpretable large language models. He holds a Ph.D. in Mathematics from the University of Maryland, College Park, where his dissertation focused on computational topology including an approximation theorem on persistent homology, and a B.A. with High Honors from Swarthmore College. He transitioned into AI interpretability research in Autumn 2022, supported by a Long-Term Future Fund grant and a Lightspeed grant, with a focus on using mechanistic interpretability tools to extract objective functions from complex models and addressing polysemanticity in neural networks. On LessWrong and the Alignment Forum, he writes about AI alignment topics including mechanistic interpretability and long-term AI safety. Guide Labs, where he is a founding team member, recently open-sourced Steerling-8B, an 8-billion-parameter LLM designed so that every token produced can be traced back to its origins in training data.

Luiz Gabriel Braun is a journalist and marketing manager at AE Studio and Instill, contributing regular opinion and marketing columns to Economia SC.

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Bob Kolasky is a nonresident scholar in the Technology and International Affairs Program at the Carnegie Endowment for International Peace and senior vice president for critical infrastructure at Exiger, where he develops third‑party and supply‑chain risk management solutions for critical infrastructure organizations.

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CaML researches how synthetic pretraining data can shift AI systems towards greater compassion and moral open-mindedness regarding all sentient beings, including animals and potential digital minds.

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AI security professional with a background in AI-led security operations and startup growth; at Straumli AI he leads the development of auditing tools that help developers screen AI models for dangerous capabilities and contribute to AI safety infrastructure.

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Josiah Lopez-Wild is a PhD candidate in the Logic and Philosophy of Science department at the University of California, Irvine, where he expects to complete his doctorate in Spring 2026. He holds a BA in Philosophy from Northwestern University and an MA in Philosophy from the University of Wisconsin, Milwaukee. His research focuses on computable decision theory and Bayesian epistemology, specifically developing computable versions of classical representation theorems from decision theory using tools from computable analysis and algorithmic randomness. He is the author of 'A Computable von Neumann-Morgenstern Representation Theorem' (forthcoming in Synthese, 2025) and co-authored 'Cartesian Frames' (2021) with MIRI researcher Scott Garrabrant and Daniel A. Herrmann, an AI alignment framework applying Chu space mathematics to agent theory. He was introduced to AI safety research through conversations within UCI's LPS program and has received funding from the Long-Term Future Fund for his PhD research related to AI safety.

Co-founder of Catalyze Impact, a non-profit organization that supports individuals in setting up AI safety organizations and hosts events on AI safety entrepreneurship and founding impactful AI safety projects.

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Game Design and Research Lead for Intelligence Rising, holding a PhD in Astrobiology and an MSci in Natural Sciences from University College London, with experience in interdisciplinary research and early‑stage technical startups, including co‑founding the Equilibria Network project on AI and collective intelligence.

Kyle Gracey is the Head of AI & Biosecurity at Future Matters, leading strategy and capacity-building work for clients such as think tanks and policymakers on AI and biosecurity risks. They have around 18 years of combined experience across consulting, policy, politics and social movements, including roles in the U.S. government and military and service to then–Vice President Joe Biden. Previously they helped build a major global network of climate organizations, co-founded an advocacy coalition at UN climate negotiations, managed nearly 100 consulting projects for Fortune 500 and other large companies in areas such as software, biotech and clean energy R&D, and earned degrees in fields including biochemistry and biophysics, economics, public policy and geophysical sciences.

Executive Director of UC Berkeley’s Center for Long-Term Cybersecurity, where she leads a multidisciplinary research center on cybersecurity and AI security; co-founded and chairs the Consortium of Cybersecurity Clinics; previously served as Interim Executive Director of the Berkeley Institute for Data Science and as Senior Director of Strategic Planning at the ClimateWorks Foundation; holds an MBA in Sustainable Management from Presidio Graduate School and a B.A. from Rice University, with research interests in cybersecurity futures, digital risk communications, governance of cyber risk, and secure clean energy.

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Jona Glade is CEO of Astralis Foundation and co-founded the advisory firm cFactual, where he has delivered numerous strategy and research projects. Previously he spent several years as a consultant at BCG and two years researching organizational psychology and AI for decision-making, and he founded Consultants for Impact after studying organizational psychology at the University of Vienna.

Jordan Schneider is the founder and editor-in-chief of the ChinaTalk podcast and newsletter. He previously worked at the Rhodium Group and Bridgewater, and has also held roles at Chinese tech firm Kuaishou and the Eurasia Group. He holds a master’s degree in economics from Peking University’s Yenching Academy and a BA in history from Yale, and his research and commentary on China and technology have appeared in outlets such as Foreign Affairs, Foreign Policy, Wired, and Lawfare.

Lucius Caviola is an Assistant Professor in the Social Science of AI at the University of Cambridge, where he directs the Digital Minds lab within the Institute for Technology and Humanity and the Leverhulme Centre for the Future of Intelligence. He also holds a Research Associate position in the Department of Psychology at Harvard University. He completed his PhD in experimental psychology at the University of Oxford in 2019, with a dissertation on the psychological foundations of moral attitudes toward animals, before undertaking a postdoctoral fellowship with Professor Joshua Greene at Harvard (2019-2023) and subsequently serving as Senior Research Fellow at Oxford's Global Priorities Institute (2023-2025). His research spans moral psychology, the social science of AI, animal ethics, and charitable giving, examining how psychological factors shape moral decision-making and how AI is reshaping society. He co-authored the book Effective Altruism and the Human Mind (Oxford University Press) with Stefan Schubert, and co-created Giving Multiplier, a donation platform that has raised over $6 million for effective charities and received a Gates Foundation award. He is also co-founder of the Effective Altruism Foundation, and has received the 2025 Rising Star Award from the Association for Psychological Science.

Ellie Hain is an artist and cultural strategist working on new imaginaries and ideologies for the post-industrial age. She co-founded the Meaning Alignment Institute, an AI research lab developing full-stack alignment technologies and institutions that are aligned with meaning.

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AI Safety ANZ builds and supports a community of AI safety researchers and advocates across Australia and New Zealand, empowering careers and local field-building to mitigate catastrophic AI risks.

Robert Long is a philosopher and the co-founder and Executive Director of Eleos AI Research, a nonprofit organization dedicated to understanding the potential wellbeing and moral patienthood of AI systems, founded in October 2024 and based in Berkeley, California. He holds a PhD in philosophy from New York University, where he was advised by David Chalmers, Ned Block, and Michael Strevens, and he also studied social studies at Harvard and earned a master's in philosophy from Brandeis University. Prior to founding Eleos AI, he was a Research Fellow at the Future of Humanity Institute at Oxford University, where he led the Digital Minds Research Group, and served as a 2023 Philosophy Fellow at the Center for AI Safety. His research sits at the intersection of philosophy of mind, cognitive science, and AI ethics, with a focus on possible AI sentience, introspection and self-report in large language models, and policy frameworks for AI welfare. He is a co-author of the influential 2023 paper "Consciousness in Artificial Intelligence: Insights from the Science of Consciousness" and the 2024 report "Taking AI Welfare Seriously." He organized a workshop on the science of consciousness and current and near-term AI systems, which received travel funding from the Long-Term Future Fund.

Marc‑Antoine Dilhac is a professor of ethics and political philosophy at Université de Montréal and an associate academic member of Mila. He holds a CIFAR Chair in AI Ethics, previously held a Canada Research Chair in Public Ethics and Political Theory, and his research focuses on democracy, social justice, and the ethical and governance implications of AI.

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AI policy fellow at the Center for Law & AI Risk with a background as a regulatory and antitrust litigator at the Australian Government Solicitor and Australian Competition and Consumer Commission, and a General Sir John Monash Scholar with law degrees from Melbourne Law School and Columbia Law School.

Kevin Wang is an AI safety researcher who participated in AI Safety Camp 6 (AISC6, Virtual 2022), a program for researchers collaborating on open problems in AI safety and existential risk. At the camp, he worked as part of a team with Jan Czechowski, Pranav Gade, and Leo McKee-Reid, with Daniel Kokotajlo serving as external mentor. The team's project, "Impact of Human Dogmatism on Training," explored how dogmatic data in training datasets affects machine learning systems and potential alignment problems that could result. The project investigated examples such as racially biased algorithms trained on historically biased data, using a small transformer model on an arithmetic dataset as a toy testbed. He received a small grant from the Long-Term Future Fund to support this work.

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Sam Ramadori is Co-President and Executive Director of LawZero, a nonprofit founded by Yoshua Bengio to develop safe-by-design AI systems. An entrepreneur in AI, he previously served as CEO of BrainBox AI, leading efforts to apply advanced AI to decarbonize the built environment, and before that spent about 15 years in private equity investing with institutional asset managers and family offices. He holds an MBA from the Richard Ivey School of Business and civil and common law degrees from the University of Ottawa.

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