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Sam Hogg is Head of Policy Engagement at the Oxford China Policy Lab, where he leads strategy for inserting OCPL’s analysis into public- and private-sector decision-making on UK–China relations, geopolitics, and AI. He is the founder of Beijing to Britain, a weekly briefing on UK–China relations that has been widely read across governments, embassies, and corporate clients, and his writing on China strategy and UK China capabilities has been published multiple times by the UK Parliament and major media outlets.
AI safety-focused community builder who recently completed an undergraduate philosophy degree at Queen’s University in Canada, concentrating on philosophy of mind, AI, science, and logic, and now works on expanding the talent pool of people contributing to AI safety.
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John Wentworth is an independent AI alignment researcher best known for developing the Natural Abstraction Hypothesis, which proposes that a wide variety of cognitive systems tend to converge on similar high-level abstractions due to the low-dimensional structure of physical information at large distances. He holds a BS in Computational and Applied Mathematics from Harvey Mudd College and has been working as an independent researcher since approximately 2018, previously having worked as a software engineer and data scientist. His research agenda centers on formalizing abstraction and agency, with work spanning questions such as what makes certain concepts like 'trees' or 'cars' natural objects of thought, why biological organisms are modular, and how such modularity may carry over to machine learning systems. He publishes extensively on LessWrong and the Alignment Forum, where he has accumulated over 400 posts and more than 60,000 karma, and he has authored eight sequences. He attended the MIRI Summer Fellows Program in 2019 and has served as a mentor in the SERI MATS (ML Alignment Theory Scholars) program, working with scholars on natural abstraction and related research directions. He has received substantial research funding from the Long-Term Future Fund and the Survival and Flourishing Fund totaling over $700,000 to support his independent alignment work.
AI-Plans is a platform for discovering, critiquing, and advancing AI alignment strategies, hosting a contributable compendium of alignment plans and running community research events.
Scott Viteri is a CS PhD candidate at Stanford University's Center for Automated Reasoning, admitted in Autumn 2019 and advised by Prof. Clark Barrett. He holds a B.S. in Computer Science and Electrical Engineering from MIT (2018), and before starting his PhD he worked on interactive theorem proving at CMU with Simon DeDeo, publishing research on abduction in mathematics in the journal Cognition. His research focus has evolved from formal verification and programming languages to AI alignment, driven by his view that advanced AI poses a substantial existential risk. His core work involves training language models to produce causally grounded chain-of-thought reasoning via reinforcement learning, as demonstrated in his 2024 paper "Markovian Transformers for Informative Language Modeling" (arXiv 2404.18988), which achieved large gains on QA benchmarks. He has also received a grant from the Long-Term Future Fund to research a novel method for training prosociality into large language models, and Open Philanthropy recommended a grant of $153,820 to Stanford University to support his and Barrett's AI alignment research.
Workshop Labs is a public benefit corporation building billions of personalized, privacy-preserving AI models with a mission to keep humans empowered as AI advances.
OpenAI is an AI research and deployment company working to ensure that artificial general intelligence benefits all of humanity. It is the creator of ChatGPT, GPT-4, and a wide range of frontier AI models.
Jed McCaleb is the founder of the Astera Institute and serves as Co‑Founder and CEO of its Neuro & AGI program, where he is directing a large, long‑term philanthropic commitment to neuroscience‑informed AGI research. A software engineer and serial entrepreneur, he previously co‑founded Ripple and the Stellar Development Foundation, created the eDonkey network and the Mt. Gox bitcoin exchange, and later founded the space company Vast, where he is founder and board chair.
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Laurence D. (Larry) Fink is Co‑Chair of the Board of Trustees of the World Economic Forum and Chairman and Chief Executive Officer of BlackRock, the global investment and technology solutions firm he co‑founded in 1988.
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A UK-based research and advocacy think tank that combines complexity modelling, expert elicitation, and democratic deliberation to improve policymaking around existential and catastrophic risks.
A global non-profit building AI safety governance capacity across Asia through policy research, training, and multi-stakeholder dialogue, starting in Southeast Asia.
Aya Abdelsalam Ismail is co-founder and chief science officer of Guide Labs. Previously she was a senior machine learning scientist at Prescient Design in Genentech, and her research focuses on making neural networks more interpretable. She earned a PhD in computer science from the University of Maryland and has published over a dozen papers at top machine learning conferences such as NeurIPS and ICLR.
Coordinates and supports rationality-focused community meetup groups worldwide, serving as a hub for ACX (Astral Codex Ten), LessWrong, and broader rationality community organizers.
Seth Lazar is a professor in the Johns Hopkins University School of Government and Policy and a leading scholar in the moral and political philosophy of artificial intelligence. He leads the Machine Intelligence and Normative Theory (MINT) Lab, which works on AI safety, governance, and resilience, and previously served as a professor of philosophy at the Australian National University. He holds a D.Phil., M.Phil., and B.A. (Hons) from the University of Oxford, and his research is supported by funders including the Templeton World Charity Foundation, the Centre for Security and Emerging Technology, the Survival and Flourishing Fund, AI2050, Google, OpenAI, and the Australian Research Council.
LawZero is a nonprofit AI safety research organization founded by Yoshua Bengio to develop safe-by-design AI systems that cannot act autonomously or pursue hidden goals.
Gaia Marcus is Director of the Ada Lovelace Institute. She previously held senior roles across the UK Civil Service, including Deputy Director (Advanced Analytics and Local Capabilities) in the Spatial Data Unit at the Department for Levelling Up, Housing and Communities, Deputy Director for the Integrated Data Service at the Office for National Statistics, Head of Engagement for Civil Service Reform at the Cabinet Office and Head of National Data Strategy at the Department for Digital, Culture, Media and Sport. In the non-profit sector she has led data strategy and participatory approaches to research and innovation at organisations such as Parkinson’s UK, Centrepoint and the RSA, and has served as a trustee of Samaritans.
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Vaidehi Agarwalla is a Senior Product Manager at Momentum, a donor engagement platform for fundraisers, and an active EA community builder who has been involved in the effective altruism community since 2018. She holds a BA in Sociology from Haverford College, where her thesis focused on social movements during the Soviet Union's collapse. Originally from Singapore, she co-founded and served as Executive Director of EA Singapore, and currently advises Asia-based EA community builders from her base in the Bay Area. She founded Pineapple Ops to direct money and talent toward important and neglected projects, with an initial focus on biosecurity talent support, and also serves as Operations Adviser at Ark Philanthropy. Her EA work has centered on careers advice, movement-building infrastructure, and making high-impact funding more robust and diversified; she received a Long-Term Future Fund grant to run a trial of a longtermist mentorship program modeled on Magnify Mentoring. She has written extensively on the EA Forum on topics including longtermist career incentives, EA funding flows, and community development.
UC Berkeley's Center for Long-Term Cybersecurity (CLTC) is a research and collaboration hub advancing future-oriented cybersecurity research, policy, and education, with a growing focus on AI safety governance and risk management for frontier AI systems.
Simon Skade is an independent AI alignment researcher based in Germany. He studied computer science at the Technical University of Munich and began self-studying machine learning and AI safety through the rationalist and effective altruism communities. He conducted mostly non-prosaic alignment research from February 2022 through August 2025, during which time he won $10,000 in the Eliciting Latent Knowledge (ELK) contest and participated in MLAB (ML Alignment Bootcamp) and SERI MATS cohorts 3.0 and 3.1. His research focused on ontology identification and an interdisciplinary approach to understanding minds — drawing on linguistics, psychology, and neuroscience — with the goal of creating more understandable and better-targeted AI systems. He received funding from the Long-Term Future Fund for independent study to deepen his understanding of the alignment problem. More recently, he has turned his attention toward advocacy for international coordination to more safely navigate the AI transition.
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Meridian Cambridge is an independent research and incubation hub in Cambridge, UK focused on AI safety, biosecurity, frontier-risk policy, and institutional design. Formerly Effective Altruism Cambridge CIC, it hosts the Cambridge AI Safety Hub, biosecurity and governance hubs, research labs, and fellowships.
An international advocacy organization devoted to reducing global catastrophic risk from all threats and hazards, working with governments worldwide to enact policies that address existential and catastrophic risks.
AI Safety Argentina (AISAR) is a 6-month research scholarship program based at the University of Buenos Aires that connects Argentine students with mentors to conduct AI safety research.
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David Girardo is a researcher and engineer with a background in mathematics, theoretical neuroscience, and computational biology. He holds a degree in mathematics from MIT, where he also taught courses in functional programming, computation theory, and neuroscience through MIT's Educational Studies Program. He worked as an Associate Computational Biologist at the Broad Institute of MIT and Harvard, and has held positions at New Science, Gauntlet AI, and MIT before becoming an AI Engineer at Emerald Cloud Lab in Austin, Texas. In 2019, he received a $30,000 grant from the Long-Term Future Fund for independent deconfusion research in AI safety, specifically working on a research agenda connecting the internal and external views of value synthesis. His approach drew on type theory, category theory, differential geometry, and theoretical neuroscience to elucidate ontological primitives for representing hierarchical abstractions. His work was endorsed by MIRI researcher Tsvi Benson-Tilsen.
Charlotte Monico is Chief Executive Officer of Founders Pledge. A long-time member of the organization, she previously served for around six years as Chief Operating Officer and has worked in close partnership with founder David Goldberg since 2019, bringing strong strategic and operational leadership as the organization scales.
Pranav Pant is a software and quantitative developer at Graviton Research Capital and an IndiaAI Fellow of the Government of India, with a B.Tech in Computer Science and Engineering from IIT Jodhpur and research experience in deep learning and multimodal AI.
Founder of CEEALAR (formerly the EA Hotel). He has a background in astrophysics and Earth system modelling and previously ran a 3D-printing/open-source hardware business, which he pursued with an eye toward supporting effective altruism.
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The Preamble Windfall Foundation is a small Pittsburgh-based 501(c)(3) that supports animal welfare research and philanthropy guidance, notably through the Planetary Animal Welfare Survey (PAWS) project.
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Yoshua Bengio is Co-President and Scientific Director of LawZero and a full professor of computer science at Université de Montréal. A pioneer of deep learning and one of the world’s most-cited scientists, he received the 2018 ACM A.M. Turing Award, founded Mila – Quebec AI Institute, and now focuses his research and public work on mitigating catastrophic risks from advanced AI, including leading LawZero’s Scientist AI approach to safe-by-design systems.
Michael T. Parker, Ph.D. is an Assistant Dean at Georgetown University's College of Arts and Sciences in Washington, D.C., where he oversees biology and chemistry majors and advises over 200 students. He holds a B.S. in Biology from Millersville University of Pennsylvania and both an M.S. and Ph.D. in Immunobiology from Yale University. Before joining Georgetown, he served as an assistant professor of immunology at McDaniel College in Westminster, Maryland. His research focuses on domestic biosecurity policy, particularly the history of U.S. select agent regulations governing the possession, use, and transfer of dangerous biological agents and toxins. He leads a team of undergraduate researchers studying the Select Agent Regulations and created the Collection of Biothreat Risk Assessments (COBRA), an open online archive enabling scholars to track and evaluate historical trends in biothreat risk assessment. He has received funding from the Long-Term Future Fund to catalog the history of U.S. high-consequence pathogen regulations, evaluate their performance, and chart a path forward.
Sincxpress Education is a STEM education company founded by Dr. Mike X Cohen that produces online courses and textbooks on applied mathematics, deep learning, and mechanistic interpretability for AI safety. Its courses have reached over 300,000 learners worldwide.
Partnership on AI is a global multi-stakeholder nonprofit that brings together industry, civil society, and academia to address the social implications of AI and promote responsible development and deployment.
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H. Akın Ünver is an associate professor of international relations at Özyeğin University and a fellow in the Carnegie Endowment’s Digital Democracy Network, where his research explores how emerging technologies, disinformation, and computational methods shape conflict, diplomacy, and democratic politics.
Philip L is the creator of the AI Explained YouTube channel, and he also runs AI Insiders, a community of more than 1,000 professionals working in generative AI across 30 industries, while authoring the Signal to Noise newsletter on high-signal AI developments.
FutureSearch is an AI forecasting startup that deploys teams of LLM agents to research, analyze, and forecast across structured data, emphasizing legible reasoning behind predictions.