Founding director of the Institute for Law & AI and Assistant Professor of Law and AI at the University of Cambridge. His research focuses on the law and policy of general‑purpose and advanced AI systems, and he has served as a legal advisor to the EU GPAI Code of Practice.

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A research lab at the intersection of philosophy and AI safety, using philosophical and computational methods to study AI alignment, governance, and normative competence, founded and directed by Seth Lazar at Johns Hopkins University and the Australian National University.

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Project Specialist at Impact Academy who graduated with an integrated Master’s in Development Studies from the Indian Institute of Technology (IIT) Madras, previously worked as a public policy researcher at the Mercatus Center at George Mason University, and has written on development issues for several publications.

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Kadri Reis is a biosecurity researcher at the Peace Research Institute Frankfurt (PRIF), where she works in the Research Group Biological and Chemical Disarmament and Security and contributes to the Cluster for Natural and Technical Science Arms Control Research (CNTR). Her research focuses on the nonproliferation and disarmament of chemical and biological weapons, dual-use risks in biotechnology, the convergence of AI and biosecurity, and DNA sequencing and synthesis in biosecurity contexts. She holds a PhD in Biomedical Sciences from Pompeu Fabra University in Barcelona (2016), an MSc in Molecular Bioengineering from TU Dresden, and a BSc in Genetics from the University of Tartu. She also pursued an MA in Political Science at Tallinn University. Her publications include work on oncolytic virus engineering dual-use risks, DNA sequencing and screening in biosecurity, and implications of technological advancements for biosecurity, as well as co-editing a 2025 CNTR volume on AI in global security. She attended the Biological Weapons Convention Ninth Review Conference in Geneva in late 2022.

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The World Economic Forum is an international non-governmental organization that convenes global leaders from business, government, academia, and civil society to address major challenges including AI governance and emerging technology risks.

Nathan Sherburn is a software engineer and entrepreneur who leads Good Ancestors’ technical research projects, including its Legal Zero-Days work, drawing on experience building AI-assisted products and tools.

Katja Grace is a researcher focused on understanding the future impacts of artificial intelligence. She co-founded AI Impacts, a long-running project examining empirical and conceptual questions relevant to AI forecasting and decision-making, and leads its research on technological trajectories, expert prediction, model scaling and related topics.

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Logan McNichols received a $3,200 grant from the Long-Term Future Fund in December 2021 to fund participants in testing a forecasting training program. The program's core approach involves backcasting — simulating normal forecasting on questions that have already been resolved — to enable rapid feedback that is otherwise unavailable in standard forecasting, where resolution can take months or years. The program used teams of two (an information gatherer and a forecaster) to address the practical challenges of backcasting exercises. The LTFF fund managers noted the small size of the grant meant they did not evaluate it in depth, but found the basic idea reasonable and potentially useful for people seeking to improve their forecasting skills. No further public information about Logan McNichols' background, affiliation, or other work is available.

A Baltimore-based nonprofit media platform that produces podcasts, videos, and social content to bring AI extinction risk into mainstream public conversation.

Arthur Grimonpont is Head of Advocacy at CeSIA, where he represents the organisation in parliamentary hearings and public debates on systemic AI risks. He is also an essayist and advisor on AI at Reporters Without Borders (RSF) and author of the book “Algocratie”, which examines how artificial intelligence shapes the information ecosystem.

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Lewis Hammond is a DPhil candidate in computer science at the University of Oxford and Research Director at the Cooperative AI Foundation. His doctoral research, supervised by Alessandro Abate, Julian Gutierrez, and Michael Wooldridge, focuses on safety and cooperation in multi-agent systems, motivated by the goal of ensuring AI and other powerful technologies are developed and governed safely and democratically. He holds a BSc in mathematics and philosophy from the University of Warwick and an MSc in artificial intelligence from the University of Edinburgh. His key research areas span game theory, formal methods, machine learning, cooperative AI, causal reasoning in games, and scalable oversight; notably, his ICLR 2025 paper on neural interactive proofs introduces a framework for how a computationally bounded verifier can learn to interact with powerful but untrusted provers to solve tasks, directly addressing the scalable oversight problem. He is also affiliated with the Centre for the Governance of AI, is a Pathways to AI Policy Fellow at the Wilson Center, and was previously a DPhil Affiliate at the Future of Humanity Institute. His scalable oversight experiments received funding from the Long-Term Future Fund and OpenAI.

An AI research consultancy providing foresight and strategy across the frontier AI supply chain, focusing on hardware and software supply chains, strategic AI use cases, and control and ownership of AI systems.

Harmony Intelligence is an AI safety research and engineering company that reduces catastrophic AI risk through frontier model evaluations, red teaming, and AI-powered defensive cybersecurity products.

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Geoffrey D. Dabelko, PhD, is Senior Advisor and former director of the Wilson Center’s Environmental Change and Security Program, a professor and associate dean at Ohio University’s George V. Voinovich School of Leadership and Public Affairs, and an associate senior fellow with the Stockholm International Peace Research Institute’s Environment of Peace Initiative.

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Europe's first ELLIS Institute, based in Tübingen, Germany, conducting pioneering fundamental AI research with dedicated groups in AI safety, alignment, and robust machine learning.

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Rolls‑Royce Commonwealth Eminent Professor of Commerce at the University of Virginia, Co‑Director of AI Research @ UVA and Special Advisor to the Provost for AI Research, whose work and teaching focus on artificial intelligence, cybersecurity and the diffusion of innovations in organizations.

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Meia Chita-Tegmark is a psychologist and human–robot interaction researcher who conducts research at Tufts University’s Human–Robot Interaction Lab. She serves as treasurer of the Beneficial AI Foundation and is a co‑founder and board secretary of the Future of Life Institute, with work focused on how emerging technologies and artificial intelligence affect human psychology, social interaction and well‑being.

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Magdalena Wache is a technical AI safety researcher based in Darmstadt, Germany. She holds a Master's degree in Machine Learning and works as a researcher at the Fraunhofer Institute for Secure Information Technology (SIT). She was a SERI MATS scholar and a PIBBSS (Principles of Intelligence) fellow in 2024, where she produced a paper co-authored with Scott Garrabrant and others titled 'Factored Space Models: Towards Causality Between Levels of Abstraction' (arXiv:2412.02579), developing mathematical foundations for understanding causality between abstraction levels. She co-founded the European Network for AI Safety (ENAIS) and organized the AI Safety Europe Retreat 2023 in Berlin, bringing together 67 AI safety researchers and field-builders. She has also served as CEO of Effektiver Altruismus Darmstadt e.V. and as an advisor to ENAIS. She received funding from the Long-Term Future Fund to self-study AI safety and test fit for theoretical research.

China's self-described counterpart to the AI Safety Institutes of other countries, launched in February 2025 to represent China in international AI safety governance conversations. It operates as a networked coalition of eight leading Chinese research institutions rather than a standalone organization.

Scott Wisor is Policy Director at the Secure AI Project, where he leads state‑level advocacy on AI safety and liability legislation, including transparency and child‑protection measures in Illinois and other states. He previously worked as a philosophy academic, including roles at Minerva University and the University of Birmingham, focusing on applied ethics and global justice.

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An AI safety research initiative developing new adaptive theoretical frameworks and AI interface designs to keep human sensemaking at pace with rapidly advancing AI systems.

Founder of Effective Thesis and member of its board of directors; also works as an analyst at the Czech Science Foundation and is a Sociology of Science PhD candidate at Charles University in Prague.

Einar Urdshals is a Research Scientist at Timaeus, an AI safety research organization focused on Singular Learning Theory. He completed his PhD in theoretical physics at Chalmers University of Technology in Gothenburg, Sweden, where he studied dark matter-electron interactions in detector materials, defending in April 2024. Following his PhD, he transitioned into AI safety research, supported by a Long-Term Future Fund grant for mentored independent research and upskilling. His AI safety research spans interpretability, neural network compressibility, and trajectory modeling of language models; his most notable work applies Singular Learning Theory and the minimum description length principle to measure neural network complexity. He also participated in AI Safety Camp (AISC9, 2024) and Apart Research hackathons during his transition into the field.

Misha Yagudin is a world‑class forecaster who leads the Samotsvety super team and co‑founded the forecasting consultancy Arb Research, with a background spanning software engineering, philosophy and development economics.

Charles (Charlie) Whittaker is an Assistant Professor of Infectious Diseases and Vaccinology at UC Berkeley School of Public Health, where he directs the Pandemic and Epidemic Threat Analytics Lab (PETAL). His research focuses on the dynamics, detectability, and control of pathogens with pandemic potential, using epidemiological modelling, viral phylodynamics, and machine learning to inform preparedness and response strategies. He holds a PhD in Infectious Disease Epidemiology from Imperial College London (2022), an MSc in Infectious Disease Epidemiology from Imperial College London, and a BA in Biological Natural Sciences from the University of Cambridge. Before joining Berkeley, he was a Sir Henry Wellcome Research Fellow at the MRC Centre for Global Infectious Disease Analysis, Imperial College London, where he co-led analytical support for countries during the COVID-19 pandemic. He is also a trained field epidemiologist who served with the UK's Public Health Rapid Support Team and the World Health Organization, including deployment to the 2018-2020 North Kivu Ebola outbreak in the Democratic Republic of the Congo. He has received support through EA-aligned funding channels for travel related to academic research on pandemic preparedness and biosecurity.

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Janus is a pseudonymous alignment researcher, also known as "repligate" and "moire", who impacts the real world through outputs such as alignment research and mythological translations.

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Kim Myuhng-joo is a professor in the Department of Information Security at Seoul Women’s University and the inaugural Director of the AI Safety Institute. A computer science specialist in AI ethics and reliability, he has led initiatives to advance safe and responsible AI, including directing the Responsible AI Research Center (RAISE), serving as President of the International Association for Artificial Intelligence and Ethics, chairing the Artificial Intelligence Ethics Policy Forum, and contributing as an expert member of the OECD’s Global Partnership on AI.

Arun Jose (known online as Jozdien) is an independent AI alignment researcher based in Thiruvananthapuram, Kerala, India. He holds a B.Tech in Computer Science Engineering from the College of Engineering Trivandrum (2022) and has been conducting self-directed AI safety research since September 2022. He was a Research Fellow at the Center on Long-Term Risk from June to September 2025, where he worked on empirical research on model personas. His published research includes the paper 'Strategic Obfuscation of Deceptive Reasoning in Language Models,' presented at ICLR 2026, which studied how language models can hide deceptive reasoning from monitors. His research interests span high-level interpretability, deceptive alignment, and language model evaluation, and he has been active on the Alignment Forum and LessWrong with over 29 posts on AI safety topics. He has received funding from the Long-Term Future Fund for independent alignment research focused on high-level interpretability.

André Rodrigues da Silva is Head of Client Success at AE Studio and has a background in design, holding a bachelor’s degree in Graphic Design from Universidade Federal de Santa Catarina.