Database

Charbel-Raphaël Segerie is Executive Director and co-founder of CeSIA, the French Center for AI Safety, and an OECD AI expert. His bio notes that CeSIA is part of the EU AI Office’s evaluator consortium for the Code of Practice on harmful manipulation risks, and that he helped initiate and co-lead the Global Call for AI Red Lines, an international campaign for binding limits on catastrophic AI risks.

Chana Messinger is Head of Video at 80,000 Hours and leads the team behind the AI In Context YouTube channel. She is an effective altruist and rationalist with a background in writing and education, and has been experimenting with short‑form and long‑form video to communicate the risks of transformative AI and what people can do about them. In addition to her work at 80,000 Hours, she maintains a personal blog and online presence discussing reasoning, ethics, and AI.

Bálint Árpád Pataki is a Senior Advanced AI Policy Researcher at the Centre for Future Generations (CFG), based in Brussels, where he focuses on EU artificial intelligence innovation policies and communicates research findings directly to policymakers. He holds an MPP from the Blavatnik School of Government at the University of Oxford (Green Templeton College, class of 2022) and an undergraduate degree in Public Policy and Economics from Leiden University College. He previously worked as an Accredited Parliamentary Assistant for MEP Eva Maydell, contributing to EU AI Act negotiations and advising on EU AI, biotechnology, and quantum policies. His research and advocacy have focused on supporting the European Commission's work on establishing a CERN-for-AI initiative — an international public-private partnership for trustworthy frontier AI development — and his work has been featured in Euractiv, Tagesspiegel, Science Business, Parliament Magazine, and Tech Policy Press. He has lectured at Oxford, Cambridge, and Leiden universities and briefed US Congressional staffers on EU AI policy developments. He participated in the ML Safety Scholars program while studying AI policy at Oxford.

Daniel is a Senior Growth Specialist at Giving What We Can, helping connect more people with the 10% Pledge and effective giving by working across the digital product and marketing experience. Before joining GWWC, he co‑founded an online school and resource platform for facilitators, focusing on brand, website and product experience, and since moving from Germany to the Netherlands in 2020 he has been active in the Dutch effective altruism community.

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Operations and community-building specialist with a Master’s degree in cognitive psychology. She joined EA Hungary in 2024, where she plays a key role in operations and course facilitation, and also supports AI Safety Hungary as an operations advisor.

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Jessica Taylor has worked as a mathematical researcher at the Machine Intelligence Research Institute, holds an MS in Computer Science from Stanford University, and blogs at unstableontology.com.

Dan Schwarz is the co-founder and CEO of FutureSearch. He holds a BS in Symbolic Systems from Stanford University and previously served as CTO at Metaculus, was a senior software engineer at Google and Waymo, and created Google’s internal prediction market.

David Abecassis is a Technical Governance Researcher at the Machine Intelligence Research Institute (MIRI), where he focuses on strategies to mitigate risks from frontier AI development, particularly technical mechanisms for halting dangerous AI activities. He holds a BS in Symbolic Systems from Stanford University. Before joining MIRI, he was the lead designer of Teamfight Tactics at Riot Games, with a background in rapid prototyping of strategy games and social system architecture. He participated in the MATS Summer 2024 program under the mentorship of Lisa Thiergart, where he developed forecasts of US-China relations in the context of transformative AI. His research includes co-authoring papers on technical requirements for halting dangerous AI activities and an international agreement to prevent the premature creation of artificial superintelligence. He has submitted recommendations to the US AI Action Plan advocating for preserving the option to halt AI development as a safeguard against existential risks from artificial superintelligence.

Kyle Redman is a researcher and practitioner of deliberative democracy who serves as Democracy Lead at the AI & Democracy Foundation and Program Manager at the Federation for Innovation in Democracy – Europe, and was previously Research and Design Director at the newDemocracy Foundation.

Nick Beckstead is co‑founder and CEO of the Secure AI Project, an advocacy organization developing pragmatic policies to reduce risks of severe harm from advanced AI. Previously he was an early employee and Program Officer at Open Philanthropy, worked as Policy Lead at the Center for AI Safety, served as CEO of the FTX Future Fund, and was a research fellow at Oxford University’s Future of Humanity Institute. He holds a BA in mathematics and philosophy from the University of Minnesota and a PhD in philosophy from Rutgers University.

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Adrian Dumitrescu is a mission design engineer and aerospace researcher serving as Mission Design Lead at Astera Institute, where he works on advanced space mission concepts and spacecraft structures. He previously held a Mission Design Engineer role at Astera, co-founded and is CTO of AIM Space, contributed to projects with the Romanian Space Initiative and Astroscale, and holds a PhD in aerospace engineering from the University of Southampton focused on 3D-printed structures for spacecraft applications.

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Beth Barnes is the founder and CEO of METR, where she leads a growing technical team that designs and runs evaluations of generative AI models to assess catastrophic risks from frontier systems. Before founding METR she worked with DeepMind’s Chief Scientist on scaling laws to forecast deep‑learning progress and at OpenAI, where she helped develop safety targets and evaluated scalable oversight techniques and code models for misalignment before deployment; she previously studied computer science at the University of Cambridge.

Matthew MacInnes is an Australian student affiliated with the School of Regulation and Global Governance (RegNet) at the Australian National University in Canberra. His undergraduate background is in philosophy, where he wrote his honours thesis on the moral significance of future persons. He subsequently pursued a Graduate Diploma of International Affairs at ANU, supported by a Long-Term Future Fund grant covering 7 months of salary. His current research focus is on questions surrounding the regulation of artificial general intelligence, which he views as a technology with potentially transformative effects on the long-term future of humanity.

Scott Niekum is an Associate Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst and director of the Safe, Confident, and Aligned Learning + Robotics Lab (SCALAR). His research aims to ensure that AI systems are well-aligned with human objectives and can be deployed safely in the real world, developing efficient learning algorithms that enforce safety constraints, provide performance guarantees, and infer and align human and agent objectives across settings from large language models to robotics.

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Philippe Beaudoin is a researcher, programmer and entrepreneur serving as an affiliated researcher at LawZero. He holds a Ph.D. in computer science from Université de Montréal and completed postdoctoral work at the University of British Columbia, then joined Google as a senior engineer working on Chrome’s recommendation systems. In 2016 he co-founded Element AI and later founded the AI startup Waverly, and by joining LawZero in 2025 he continues his long-standing focus on designing AI systems that support human flourishing.

Max Tegmark is a physicist, machine learning researcher, and author who is a professor of physics at the Massachusetts Institute of Technology and founder and president of the Future of Life Institute. He has written more than 300 technical papers and the bestselling books Our Mathematical Universe and Life 3.0, and his recent AI safety research focuses on mechanistic interpretability and guaranteed safe AI.

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Senior policy counsel who has served at the Center for AI Safety Action Fund, where he worked on California’s AI safety bill SB 1047 and broader AI policy issues.

Gary McGraw, Ph.D., is co-founder and CEO of the Berryville Institute of Machine Learning and a globally recognized authority on software security whose work now focuses on machine learning security. Previously he spent more than two decades as a senior executive and CTO at Cigital (acquired by Synopsys), authored numerous software security books and papers, and helped create the Building Security In Maturity Model (BSIMM).

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Dr Tomasz Hollanek is an Assistant Research Professor and Postdoctoral Research Fellow at the Leverhulme Centre for the Future of Intelligence and an Affiliated Lecturer in the Department of Computer Science and Technology at the University of Cambridge. Working at the intersection of AI ethics, critical design and human–AI interaction, his research explores how critical and speculative design methods can support socially just and environmentally sustainable governance, development and deployment of AI systems, including within projects such as AI for Just and Sustainable Futures and the HEAT EU AI Act toolkit.

Thomas Woodside is Co-Founder and Senior Policy Advisor at the Secure AI Project, an organization that develops and advocates for pragmatic policies to reduce risks of severe harm from advanced AI. He is also a master's student in Security Studies at Georgetown University. He holds a BS in Computer Science from Yale University, where his undergraduate thesis focused on vulnerabilities in large language models. He was the first employee at the Center for AI Safety (CAIS), where he worked with Director Dan Hendrycks and co-authored the widely read paper "An Overview of Catastrophic AI Risks" with Hendrycks and Mantas Mazeika. He subsequently served as a Junior Fellow at Georgetown's Center for Security and Emerging Technology (CSET), publishing research on LLM evaluation, emergent abilities, AI agents, and AI reporting requirements. His policy work includes advocacy on California SB 1047, SB 53, and the New York RAISE Act.

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Associate Professor of Machine Learning at the University of Oxford and Director of Research at the UK Government’s AI Safety Institute (now AI Security Institute).

Aqib Zakaria is an analyst for ChinaTalk. Originally from New Orleans, he graduated from Harvard University with an A.B. in Government and an A.M. in Regional Studies—East Asia, and his research interests include semiconductors, robotics, and industrial policy.

Vivian Dong is Programs Director at Legal Advocates for Safe Science and Technology (LASST). She is a graduate of Harvard Law School and, before joining LASST, worked as a litigator and associate attorney at the law firm of Kellogg, Hansen, Todd, Figel & Frederick, P.L.L.C. in Washington, D.C.

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Taniel Yusef is a research affiliate at the Centre for the Study of Existential Risk and a researcher and advocate working on portfolios at the UN, European and UK parliaments with an emphasis on disarmament. Her work focuses on weapons technology regulation across AI, nuclear weapons, outer-space threats and cybersecurity, as well as supply chains, global trade, development, emerging economies and gender, and she holds roles including Technology Developers Coordinator of the UK Campaign to Stop Killer Robots, visiting lecturer at the University of East London and member of the WILPF Advisory Board.

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Joe Edelman is a philosopher, sociologist, and entrepreneur who co-founded and co-leads the Meaning Alignment Institute, where he serves as a principal investigator on programs such as Full-Stack Alignment and AGI Institutions. He previously developed meaning-based metrics used at companies like CouchSurfing, Facebook, and Apple, and co-founded the Center for Humane Technology.

Paul Christiano is a researcher in artificial intelligence alignment who formerly led the language model alignment team at OpenAI, founded and headed the nonprofit Alignment Research Center, and now serves as Head of Safety for the Center for AI Standards and Innovation at the U.S. National Institute of Standards and Technology (NIST).

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Mike X Cohen is the founder of Sincxpress Education SRL and an independent educator who designs and delivers comprehensive online courses and textbooks on topics such as data analysis, statistics, signal processing, linear algebra, and machine learning. After holding a research-focused professorship in neuroscience, he shifted to full-time teaching and writing to democratize high-quality STEM education, and reports having engaged over 300,000 learners worldwide through his online courses.

Co-founder of AI Safety Asia in Manila, where she has led early capacity-building programmes, strategic dialogue, and diplomatic efforts on AI governance, and founder of The Ambit, an AI governance network representing the Global Majority.

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Dr. Petr Lebedev is Science Communication Lead at Palisade Research, where he leads video projects explaining AI and AI safety to broad audiences. A physicist by training, he previously completed a PhD in physics and worked as a writer and researcher for the YouTube channel Veritasium, building extensive experience in science communication.

Sasha Cooper (online handle: Arepo) is a researcher and software developer active in the effective altruism community with a focus on global catastrophic risk and longtermism. He received a $36,000 grant from the Long-Term Future Fund in April 2022 to conduct supervised research on the probability of humanity becoming interstellar given non-existential catastrophe, work that led to the development of his open-source "longtermist risk calculator" — a pair of interactive tools for estimating humanity's probability of achieving a secure interstellar existence after major catastrophes. He has approximately five years of software development experience and has been studying data science. He co-founded Felicifia in 2008 (an early utilitarianism discussion forum), founded the EA Gather Town virtual community space, and served as a trustee of CEEALAR (the EA hotel in Blackpool) for five years. He describes himself as a "GCR-focused AI sceptic" and writes on moral philosophy and utilitarian ethics at his personal website. As of early 2024, he was based in the Netherlands with UK citizenship.

William Alfred Rose Professor of Law whose academic work focuses on private law, consumer markets, and the legal implications of AI, as reflected on his Law & AI academic website.

William D'Alessandro (also known as Bill D'Alessandro) is an Assistant Professor in the Philosophy Department at William & Mary in Williamsburg, Virginia, where he joined in August 2024. He holds a PhD in philosophy from the University of Illinois Chicago (2017) and has held postdoctoral positions at the Munich Center for Mathematical Philosophy (LMU Munich) and as a Marie Curie/UKRI Postdoctoral Fellow at the University of Oxford, as well as a Philosophy Fellowship at the Center for AI Safety in 2023. His research spans philosophy of science and mathematics, with growing focus on applied ethics and AI safety, including deontological approaches to AI risk and the ethics of longtermism. He taught an MA seminar on longtermism and organized a Longtermism @ LMU talk series in Summer 2022, supported by an EA Funds grant for speaker fees and community building. His publications include "Deontology and Safe Artificial Intelligence" (Philosophical Studies, 2024) and "Artificial Intelligence: Approaches to Safety" (Philosophy Compass, 2025).