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Matt Sheehan is a senior fellow in the Asia Program at the Carnegie Endowment for International Peace, where he researches global technology issues with a focus on China’s artificial intelligence ecosystem, technology policy, and political economy.
Scott Alexander (Scott Alexander Siskind) is a psychiatrist and writer on the US West Coast best known for his blogs Slate Star Codex and its Substack successor Astral Codex Ten, where he writes long-form essays on reasoning, science, psychiatry, ethics, politics, and effective altruism. His blogs have become central venues for the rationalist and EA communities, and he has been widely cited and discussed in those circles. Clinically, he has practiced psychiatry at Lorien Psychiatry and previously at other US institutions, with a focus on treatment-resistant depression and related areas.
Developing correct-by-construction world models for verification of frontier AI
A 501(c)(3) nonprofit research organization in Cavendish, Vermont focused on AI safety and pandemic prevention, operating as a residential research community where researchers live and work together.
Surveying experts on AI risk scenarios and working on other projects related to AI safety.
Education and public health entrepreneur
Sunishchal Dev is an AI evaluation research scientist at RAND, where his work focuses on evaluating and governing artificial intelligence systems. Before joining RAND, he spent about a decade in industry as a data scientist and management consultant implementing AI solutions, and he holds a B.A. in technology and innovation management from the University of Washington Bothell.
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Co-Founder of the AI Safety Initiative at Georgia Tech and fourth-year computer science student who also helped co-found the Effective Altruism club at Georgia Tech and is interested in AI safety field-building and technical work to mitigate long-term risks from transformative AI.
Katerina Manoli is a researcher with Sentience Institute who has a background in philosophy, psychology, and neuroscience and is a PhD student at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. She has conducted research on the perception of artificial agents and the ethics of human AI interaction at institutions including the Donders Institute for Brain, Cognition and Behaviour, Harvard Universitys Department of Social Studies, and the University of Glasgows School of Psychology and Neuroscience, and has served on boards of effective altruism organizations and as a STEM mentor for Effective Thesis.
Michael Hanna is a PhD student at the Institute for Logic, Language and Computation at the University of Amsterdam whose research focuses on interpreting and evaluating NLP models. As an Anthropic Fellow he led the development of the circuit-tracer library for feature circuits, which he now maintains as an open-source project integrated with Neuronpedia and supported by Decode Research.
Kunvar Thaman is a machine learning research engineer at Standard Intelligence in San Francisco. He studied at the Birla Institute of Technology and Science (BITS), Pilani. His work focuses on training large-scale neural networks and mechanistic interpretability research — reverse-engineering the internal computations of neural networks to understand how they work. He co-authored "Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts," presented at ICML 2024, which introduces a methodology called retro-holdouts to measure how much public benchmark scores are inflated by training data contamination. He also participated in AI Safety Camp (AISC9) where his team applied mechanistic interpretability methods to study out-of-context learning in neural networks. He maintains a research site at mechinterp.com and writes at kunvarthaman.com.
Federico L.G. Faroldi is a professor of Ethics, Law and Artificial Intelligence at the University of Pavia, where he directs the Center for Reasoning, Normativity and AI (CERNAI) and the Normative Risk Lab and holds a 1.2m € FIS grant on "generic reasoning". He is also affiliate faculty at UC Berkeley's Center for Human-Compatible AI (CHAI). His current research focuses on AI safety and risk (especially regulation and governance), AI alignment using normative reasons, deontic and modal logic, truthmaker semantics, and the law and ethics of artificial intelligence.
Executive coach, writer, and serial social entrepreneur; founder and Executive Director of Original Position and creator of What Future World?, and previously Executive Director of The AI Governance Archive (TAIGA) as well as co-founder of LifeWork and the Small Business School Challenge.
LASR Labs is a 13-week intensive technical AI safety research program in London that places researchers in supervised teams to produce peer-reviewed papers. It is operated by Arcadia Impact and focuses on reducing the risk of loss of control to advanced AI.
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Ashgro is a 501(c)(3) public charity that provides Model A fiscal sponsorship to AI safety projects, handling their accounting, HR, legal compliance, and grant management so project leads can focus on their mission.
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Loïc Watine is Director of EA Funds at the Centre for Effective Altruism, a role he took up in January 2026 after previously serving as Chief Research and Policy Officer at Innovations for Poverty Action.
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UC Santa Cruz is a public research university whose Baskin School of Engineering conducts AI safety-relevant research, including adversarial robustness work supported by Open Philanthropy.
6-month salary to build & enhance open-source mechanistic interpretability tooling for AI safety researchers
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4-6 month salary to do circuit-based mech interp on Mamba, as part of the MATS extension program
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Philippe Rivet is a Canadian electrical engineer based in Toronto, Ontario, who has pursued applied technical AI alignment research. He received an NSERC Undergraduate Student Research Award during his undergraduate studies and later completed studies related to machine learning and AI safety, including coursework from Dan Hendryck's ML Safety program. His GitHub profile reflects interests in evolutionary computing, reinforcement learning, interpretability, and AI alignment. He has described his path as a "costly attempt at AI safety research" and has since considered earning-to-give as an alternative contribution to effective altruism. He received a $10,000 grant in support of applied technical AI alignment research. He is active in the effective altruism community, having published a post on the EA Forum titled "The Highly Sensitive EA," and maintains interests in contemplative practice and philosophy.
Independent researcher at the Institute of Computer Science (ICC), CONICET‑UBA, with an Electrical Engineering PhD from Stanford University; her main research area is machine learning applied to speech and language processing.
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Alexis Carlier is the co-founder and CEO of Asymmetric Security, an AI-native digital forensics and incident response company that emerged from stealth in early 2026 with $4.2M in pre-seed funding. He was previously part of the founding team at the Centre for the Governance of AI (GovAI), where he served as Head of Strategy and contributed to the organization's transition from Oxford to an independent nonprofit. He also led AI security programs at RAND and the University of Oxford. Carlier holds a Master's degree in Economics from the Toulouse School of Economics. He received a Long-Term Future Fund grant in 2020 to survey leading AI safety and governance researchers on their beliefs about AI existential risk scenarios, work that was later published on the EA Forum and LessWrong co-authored with Sam Clarke and Jonas Schuett. He has also co-authored academic papers on AI governance topics including AI ethics board design and frontier AI regulation.
Grant to cover fees for a master's program in machine learning
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Neil Crawford is a PhD student in Logic and Philosophy of Science at UC Irvine whose research focuses on evolutionary game theory and its implications for AI safety. He has been involved in the Effective Altruism community since his undergraduate studies at the London School of Economics (2018) and has been a central figure in building the AI safety community at UC Irvine. He organized AI Alignment Irvine (AIAI), facilitating weekly alignment reading groups and AI safety dinners, and helped recruit a core group of PhD students engaged in AI alignment research. He also facilitated the Arete Fellowship at UCI, an 8-week introduction to Effective Altruism, and co-organized EA at UC Irvine. He has received grants from EA Funds (Long-Term Future Fund) to support his organizing work, including a stipend for running AIAI and funding for AI safety dinners. He is listed as a member of the AI Safety Community Researchers group at the Future of Life Institute.
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Lead Researcher at Saving Humanity from Homo Sapiens, investigating how humanity can achieve very-long-term sustainability and a flourishing long-term future while avoiding global catastrophic and existential risks.
Arcadia Impact is a London-based nonprofit that empowers individuals to pursue high-impact careers tackling global challenges, with a focus on AI safety research, governance, and talent development.
