Database

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.

A collaborative hardware security research effort between WPI and UMass Amherst focused on developing tamper-detection and verification mechanisms for semiconductor chips, with applications to AI governance and hardware-enabled guarantees.

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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).

Georgetown University is a major private Jesuit research university in Washington, D.C. that hosts several programs relevant to AI safety and governance, including the Center for Security and Emerging Technology (CSET), the McCourt School's Tech & Public Policy program, and the Law School's Institute for Technology Law & Policy.

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PEAKS is a coworking space in Zurich, Switzerland for professionals working on Effective Altruism and AI Safety research.

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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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The US fundraising arm of the ETH Zurich Foundation, enabling American donors to make tax-deductible gifts that support research, teaching, and talent at ETH Zurich in Switzerland.

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.

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.

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The Global Partnership on Artificial Intelligence (GPAI) is an international initiative of 46 member countries and the European Union that promotes the responsible development and use of AI, grounded in human rights, inclusion and democratic values. In July 2024, GPAI joined forces with the OECD’s AI policy work as an integrated partnership under the GPAI brand, hosted at the OECD in Paris.

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).

software engineer and shoggoth inventor

EA Austria/Effective Animal Advocacy Austria

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One of the world's oldest universities, home to the Center for Reasoning, Normativity and AI (CERNAI), which conducts AI safety and alignment research led by Prof. Federico Faroldi.

Advisor with extensive experience in the cannabis and mental health sectors, active as an investor and advisor to early-stage cannabis companies and working as a guide, facilitator and coach at Entheogen Advisors focused on natural‑medicine‑based personal and spiritual development.

interpretability researcher/ML engineer

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Samuel Conte Professor of Computer Science at Purdue University whose research focuses on AI security, software analysis and cyber forensics. His work develops techniques to detect bugs and security vulnerabilities in both traditional software systems and AI models, and he has led numerous DARPA, IARPA, ONR, NSF, Air Force and industry-funded projects whose results have been deployed in practice and recognized with awards at top venues in security, AI, software engineering and programming languages.

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Longtime administrator at Naropa University in Boulder, Colorado, and core team member of the Buddhism & AI Initiative working at the intersection of Buddhist education and emerging technology.

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Software Engineer in Boulder, CO

An interactive educational web series by Nicky Case explaining AI safety concepts to general audiences through accessible comics and interactive explainers.

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Meta Charity Funders (MCF) is a donor funding circle that pools capital and expertise to support EA meta charities - organizations working one level removed from direct impact. Members each commit $100,000 or more annually and coordinate through biannual open grant rounds.

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Researcher-in-training with a background in chemistry who has transitioned towards AI safety, particularly interested in reinforcement learning and multi-objective approaches to training agents better aligned with human goals, currently working with ARAAC researchers as an intern.

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Head of the Strategic Foresight Hub in the Office of the President at ETH Zurich, with a background as an engineer, educator, and futurist.

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