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A leading private research university on Chicago's South Side that hosts several AI safety and existential risk research programs, including the Existential Risk Laboratory (XLab), the Chicago Human+AI Lab, and the Harris School's Technology and Society Initiative.

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Samuel Hammond is director of Artificial Intelligence Policy and chief economist at the Foundation for American Innovation, where his research focuses on innovation policy, artificial intelligence, and the institutional impact of emerging technologies. He previously served as director of social policy at the Niskanen Center, worked as an economist for the Government of Canada, and was a graduate research fellow at the Mercatus Center.

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Earendil is a hardware security startup that builds tamper response systems for AI compute infrastructure, including GPU clusters, to support hardware-enabled governance and compliance verification for AI development.

Bryce Hidysmith was previously a designer and strategist for the hedge fund Numerai and writes essays at hidysmith.com.

Executive Director of CEEALAR, where he is leading its evolution into a high-impact EA hub. He brings experience in R&D leadership at global organisations, the startup ecosystem, education, customer service and military service, and focuses on creating communities where talented people can do impactful work.

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Early contributor to the AI Safety Awareness Project remembered in its "In Memoriam" section. He previously played online poker professionally for five years, spent four months at the Recurse Center focusing on AI and reinforcement learning, received a grant from the Machine Intelligence Research Institute (MIRI) to upskill in machine learning, and participated in AI Safety Camp as both participant and organizer. He later founded Poker Camp, a nonprofit that uses poker to teach probability, AI, and decision-making under uncertainty. He held a B.S. in Electrical Engineering from Northwestern University and an M.Sc. in Electrical Engineering from the Technion – Israel Institute of Technology.

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José Luis Cordeiro is a Venezuelan-Spanish engineer, economist, and futurist who chairs The Millennium Project’s Venezuela Node and serves on its Board of Directors. He founded the World Future Society Venezuela, previously directed the Venezuela Chapter of the Club of Rome, holds degrees from Universidad Simón Bolívar, INSEAD, and MIT, and has authored more than ten books, including the bestseller La muerte de la muerte on radical life extension.

Eric Easley is an AI safety researcher and machine learning researcher affiliated with the ML Alignment & Theory Scholars (MATS) program, based in San Francisco, CA. He holds a Bachelor's degree in Physics and Economics from The Ohio State University. Prior to focusing on AI alignment research, he gained software engineering experience at companies including PullRequest and Coursera. He received a grant from the Long-Term Future Fund (LTFF) for a 6-month research stipend focused on removing conditional bad behaviors from large language models via a learned latent space intervention, exploring how latent representations in LLMs can be used to durably eliminate undesirable model behaviors rather than merely suppress them. His GitHub profile (username: pseudonom) shows a background in functional programming, particularly Haskell.

Liam Carroll is a Researcher in AI Safety based in Melbourne, Australia, jointly affiliated with Timaeus and the Gradient Institute. He holds a Master of Mathematics from the University of Melbourne (2021), where his thesis on Phase Transitions in Neural Networks was supervised by Dr. Daniel Murfet and Dr. Thomas Quella, and a Bachelor of Science in Applied Mathematics alongside a Diploma of Music in Clarinet Performance. Prior to his current role, he was an independent researcher in Developmental Interpretability (2023-2024), funded by a Lightspeed Grant, during which he co-authored papers on the stagewise development of neural networks using Singular Learning Theory. He received a Long-Term Future Fund grant to write a LessWrong sequence called Distilling SLT, which translates the technical foundations of Watanabe's Singular Learning Theory into accessible form for the AI safety community. Carroll also organized the inaugural Australian AI Safety Forum in Sydney in November 2024, and brings a distinctive background as a wilderness hiking guide in Tasmania and a music educator.

Design and product specialist working at Atlas Computing.

Adam Shimi is a French AI safety researcher currently working as a Policy Researcher at ControlAI, a non-profit focused on preventing the development of unsafe superintelligence, based in London. He completed his PhD in theoretical computer science at the Université de Toulouse (IRIT) in 2020, where his dissertation focused on distributed computing and the Heard-Of model, and holds an engineering degree in Computer Science and Applied Mathematics from ENSEEIHT (2014-2017). Prior to ControlAI, he was a co-founder and early staff member at Conjecture, an AI alignment research startup, where he also founded Refine, a three-month incubator for conceptual alignment researchers to develop new research directions. He has conducted independent AI alignment research with support from the Long-Term Future Fund and is an active contributor to the Alignment Forum and LessWrong, with over 124 posts and 875 comments. His research interests span epistemology of alignment, agent foundations, goal-directedness, and the methodology of AI safety research, and he blogs at For Methods (formethods.substack.com).

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Romain Graux is a systems specialist and machine learning engineer at EPFL’s Computational Molecular Design Laboratory who writes about AI safety, deep learning, and software. Public profiles indicate that he works at EPFL in a systems specialist role, and event listings show him helping to host and organize AI safety events at EPFL, including the AI Horizons panel on the Swiss AI Initiative and earlier multi-agent safety hackathons.

Head of Global Partnerships at the Collective Intelligence Project and a global community organizer with experience building international coalitions, advising policymakers, and working on human rights, digital rights, education, public health, climate, and social movements across regions including Nepal, South Africa, India, Sri Lanka, the UK, and the US.

Co-founder and principal investigator of the Alignment of Complex Systems Research Group at Charles University’s Center for Theoretical Study, previously a research fellow at Oxford’s Future of Humanity Institute working on macrostrategy, AI alignment, and existential risk.

Chris Lakin is an independent AI safety researcher and writer based in San Francisco. He studied physics at Carnegie Mellon University and previously contributed to New Science, a metascience non-profit. His primary research focus is formalizing the concept of "boundaries" or "membranes" as a rigorous safety specification for AI systems, drawing on Markov blankets and connections to agent autonomy in psychology. He has written widely-read distillation posts on this topic for LessWrong and the Alignment Forum, and organized two workshops: the Conceptual Boundaries Workshop (February 2024, Austin) and the Mathematical Boundaries Workshop (April 2024, Berkeley area), bringing together researchers including David Dalrymple, Scott Garrabrant, and Andrew Critch. His work has been funded by the Long-Term Future Fund, the Foresight Institute, and a joint $40,000 ACX Grant (2024) with Evan Miyazono. He writes the "Locally Optimal" Substack newsletter (3,300+ subscribers) and maintains a project site at formalizingboundaries.ai.

Dmitrii Troitskii is a Research Manager at the Cambridge Boston Alignment Initiative, working with fellows on mechanistic interpretability and related AI safety research projects featured in CBAI’s research portfolio.

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Chloé Messdaghi is a security and AI governance advisor who helps leadership teams design resilient, well‑governed sociotechnical systems. She has led work on Microsoft’s Digital Defense Report and advises companies, investors, and public institutions on AI risk, cybersecurity, and technology policy, and has been recognized by outlets such as Business Insider and SC Media for her contributions to technology governance.

Bart Bussmann is an independent mechanistic interpretability researcher focused on AI safety. He holds an MSc in Artificial Intelligence from the University of Amsterdam (2016-2019) and previously worked as a Machine Learning Researcher at IDLab, University of Antwerp and imec (2019-2022). Since 2023, he has pursued independent alignment research full-time, exploring concepts learned by large language models using sparse autoencoders. His notable contributions include BatchTopK Sparse Autoencoders, Meta-SAEs, and Matryoshka SAEs, with papers published at ICLR and ICML. He has participated in the MATS (ML Alignment Theory Scholars) program and received funding from the Long-Term Future Fund to explore a technical AI alignment research direction.

Policy Lead at AI Safety Hungary, with a background in international relations and data science. Based in Budapest, he has hands-on experience working in embassies and managing events involving diplomatic staff, including prior roles at the Embassies of Kazakhstan in the UK and China and the International Diplomatic Student Association.

AISI is a student-led community at Georgia Tech working to ensure AI is developed safely, running fellowships, research projects, and policy programs across technical and governance tracks.

Jonas Vollmer helps manage Macroscopic Ventures, an AI-focused venture fund and philanthropic foundation, and has previously co-founded organizations such as the Atlas Fellowship and the Center on Long-Term Risk.

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Laurent Crenshaw is chair of the board at the Foundation for American Innovation. He serves as Vice President of Government Affairs at Zocdoc and previously led policy and external affairs at Patreon, following senior public-policy roles at Eaze and Yelp.

Aidan is a researcher at Giving What We Can based in Canberra, Australia. Before joining GWWC he worked as a senior epidemiologist and research officer in the Australian Capital Territory Government, and he holds a Bachelor of Philosophy (a research‑intensive science degree) from the Australian National University with honours in clinical medical research.

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Co-founder and chief financier of Saving Humanity from Homo Sapiens, a philanthropic foundation he uses to support work aimed at preventing human-caused global catastrophic risks.

Ryan Lowe is an AI alignment researcher who serves as Research Ecosystem Lead at the Meaning Alignment Institute, after previously working on AI alignment at OpenAI.

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Legal scholar whose work focuses on the nexus of regulatory design, innovation policy, and constitutional law. He leads the AI Innovation and Law Program at the University of Texas School of Law and serves as a Senior Fellow at the Abundance Institute, working on how emerging technologies, including AI, should be governed through law and public policy.

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Scriptwriter for Rational Animations with interests in effective altruism topics such as art and fiction, mechanism design, prediction markets, and existential risk.

Jeffrey W. Ohl is a PhD student in economics at the University of Chicago Booth School of Business, where he researches tax policy, environmental regulation, and political economy. He holds an undergraduate degree from the University of Michigan and previously worked as an analyst at a major US bank. Before starting his PhD, he received a grant from the Long-Term Future Fund to take a Harvard economics course in Fall 2022 to strengthen his graduate school application. He has been involved in the effective altruism community and has written on EA Forum about international cooperation as a strategy for reducing existential risks from AI and engineered pandemics.

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Jeff Clune's AI safety and alignment research lab at UBC's Department of Computer Science, focused on deep learning, AI interpretability, and open-ended AI systems.

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Quentin Feuillade--Montixi is a French AI safety researcher and entrepreneur based in Paris. He studied at 42.fr (École 42), a peer-to-peer coding school, and was a scholar in the SERI MATS Winter 2023 cohort (cohort 3), where he was mentored by Janus and Nicholas Kees Dupuis on the cyborgism track and developed expertise in prompt engineering and LLM psychology. After MATS, he worked as a contractor for METR (formerly ARC Eval) evaluating GPT-4 pre-release capabilities, and did independent red teaming for OpenAI and Anthropic. He co-founded PRISM Eval, where he created the BehaviorElicitationTool (BET), an automated red-teaming system that was presented at the Paris AI Summit in 2025. His research interests center on model ethology — a behavioral approach to studying AI cognition — and LLM psychology, topics he has written about on LessWrong and the Alignment Forum. He is currently the founder and CEO of WeaveMind, an AI-powered knowledge management startup backed by Seldon Labs and ElevenLabs startup grants.