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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Stephen Wicklund is a Software Developer and Database Engineer on the Society Library’s executive/core team.

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Eli Bingham is a co-founder and director of Basis Research Institute and a machine learning fellow in the Data Sciences Platform at the Broad Institute of MIT and Harvard. He is a co-creator and core developer of the Pyro probabilistic programming language and previously worked as a senior research scientist at Uber AI Labs. His research sits at the intersection of probabilistic machine learning, programming languages, and biology, with an emphasis on turning research into robust open-source software.

Cillian Crosson is the executive director of the Tarbell Center for AI Journalism, a nonprofit that supports journalism about artificial intelligence and runs the Tarbell Fellowship, a year-long programme that provides training, stipends and newsroom placements for journalists covering AI.

Principal at Lionheart Ventures working on investments related to psychedelic therapeutics and frontier mental health, and a speaking faculty member at conferences such as the Psychedelic Therapeutics and Drug Development Conference.

The Leverhulme Centre for the Future of Intelligence (CFI) is an interdisciplinary research centre at the University of Cambridge that explores the nature, ethics, and impact of artificial intelligence. It brings together researchers from machine learning, philosophy, social science, and other fields to address both near-term and long-term challenges posed by AI.

A non-partisan, interdisciplinary research group based at the University of Oxford that produces policy-relevant research to mitigate global risks stemming from US-China great power competition, with a particular focus on artificial intelligence and emerging technologies.

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A nonprofit AI safety research lab that pioneers threat assessment and mitigation techniques for advanced AI systems, with a current focus on AI control protocols and detecting strategic deception in language models.

Philosopher and cognitive scientist whose work uses conceptual analysis, theoretical model building, and empirical methods to address fundamental questions about human cognition and how people think, including predictive-processing perspectives on contemplative and altered states of consciousness.

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Michael (Mik) Zlatin is an Assistant Professor of Computer Science at Pomona College in Claremont, California, where he joined the faculty in 2025. He earned his Ph.D. in Algorithms, Combinatorics and Optimization from Carnegie Mellon University's Tepper School of Business, where he was advised by Gérard Cornuéjols and served as a teaching assistant for courses including Integer Programming and Design and Analysis of Data Structures and Algorithms. His dissertation, "Polyhedral and Algorithmic Methods in Network Connectivity," received the Gerald L. Thompson Doctoral Dissertation Award in Management Science. After completing his PhD in 2024, he held postdoctoral fellowships at Carnegie Mellon University (hosted by R. Ravi) and the Weizmann Institute of Science (hosted by Robi Krauthgamer). His research focuses on network connectivity, approximation algorithms, polyhedral methods, and combinatorial optimization, with notable publications at venues including SODA, FOCS, and ESA; his work on Steiner connectivity augmentation won the Best Student-Paper Award at ESA 2024. He received a grant from the Long-Term Future Fund during his PhD to buy out teaching assistant duties, enabling more focused research time.

Luisa Rodriguez is a research analyst and podcast host at 80,000 Hours, where she co‑hosts The 80,000 Hours Podcast. Previously she researched civilisational collapse at the Forethought Foundation for Global Priorities Research and nuclear risk at Rethink Priorities and as a visiting researcher at Oxford’s Future of Humanity Institute. Before moving into existential risk and global priorities, she worked on cost‑effectiveness analysis of nonprofit and government programmes at organisations including ImpactMatters, Innovations for Poverty Action, and GiveWell.

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Marieke de Visscher has been involved with Effective Altruism Netherlands for more than seven years, first as a volunteer and board member and later as co-director, helping to build the organisation from an all-volunteer group into a staffed nonprofit.

Sage builds tools to improve forecasting skills and public understanding of AI capabilities, with the goal of reducing global catastrophic risks from emerging technologies.

Cognitive scientist who obtained a PhD from the Graduate School of Systemic Neurosciences at LMU Munich, worked on the sense of agency and related topics as a postdoc at the Max Planck Institute for Human Cognitive and Brain Sciences and LMU, and has broader interests at the intersection of science and philosophy.

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