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Clear filtersLaurent Crenshaw is chair of the board at the Foundation for American Innovation. He serves as Vice President of Government Affairs at Zocdoc and previously led policy and external affairs at Patreon, following senior public-policy roles at Eaze and Yelp.
Aidan is a researcher at Giving What We Can based in Canberra, Australia. Before joining GWWC he worked as a senior epidemiologist and research officer in the Australian Capital Territory Government, and he holds a Bachelor of Philosophy (a research‑intensive science degree) from the Australian National University with honours in clinical medical research.
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Co-founder and chief financier of Saving Humanity from Homo Sapiens, a philanthropic foundation he uses to support work aimed at preventing human-caused global catastrophic risks.
Ryan Lowe is an AI alignment researcher who serves as Research Ecosystem Lead at the Meaning Alignment Institute, after previously working on AI alignment at OpenAI.
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Legal scholar whose work focuses on the nexus of regulatory design, innovation policy, and constitutional law. He leads the AI Innovation and Law Program at the University of Texas School of Law and serves as a Senior Fellow at the Abundance Institute, working on how emerging technologies, including AI, should be governed through law and public policy.
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Scriptwriter for Rational Animations with interests in effective altruism topics such as art and fiction, mechanism design, prediction markets, and existential risk.
Jeffrey W. Ohl is a PhD student in economics at the University of Chicago Booth School of Business, where he researches tax policy, environmental regulation, and political economy. He holds an undergraduate degree from the University of Michigan and previously worked as an analyst at a major US bank. Before starting his PhD, he received a grant from the Long-Term Future Fund to take a Harvard economics course in Fall 2022 to strengthen his graduate school application. He has been involved in the effective altruism community and has written on EA Forum about international cooperation as a strategy for reducing existential risks from AI and engineered pandemics.
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Quentin Feuillade--Montixi is a French AI safety researcher and entrepreneur based in Paris. He studied at 42.fr (École 42), a peer-to-peer coding school, and was a scholar in the SERI MATS Winter 2023 cohort (cohort 3), where he was mentored by Janus and Nicholas Kees Dupuis on the cyborgism track and developed expertise in prompt engineering and LLM psychology. After MATS, he worked as a contractor for METR (formerly ARC Eval) evaluating GPT-4 pre-release capabilities, and did independent red teaming for OpenAI and Anthropic. He co-founded PRISM Eval, where he created the BehaviorElicitationTool (BET), an automated red-teaming system that was presented at the Paris AI Summit in 2025. His research interests center on model ethology — a behavioral approach to studying AI cognition — and LLM psychology, topics he has written about on LessWrong and the Alignment Forum. He is currently the founder and CEO of WeaveMind, an AI-powered knowledge management startup backed by Seldon Labs and ElevenLabs startup grants.
Benjamin Anderson is a machine learning researcher and entrepreneur based in San Francisco, California. He holds an M.S. in Computer Science (Siebel Scholar, 4.0 GPA) and a B.A. in Philosophy with distinction (Phi Beta Kappa) from Stanford University. He was an Empirical Research Fellow at Stanford's Regulation, Evaluation, and Governance Lab (RegLab) from 2020 to 2022, where he led data science projects with the IRS on ML-based audit selection and with Santa Clara County on COVID-19 disease surveillance. He subsequently worked as an ML researcher at CarperAI, developing pipelines for legal foundation models, and as a founding engineer at Justera. He is co-founder of Taylor AI (YC S23), a San Francisco-based startup providing AI-powered text classification and data enrichment tools. He has received funding to conduct work in AI safety and actively engages with AI safety topics including model evaluation and chain-of-thought monitoring.
Kajetan Janiak (publicly known as Jett Janiak) is a mechanistic interpretability researcher from Poland who studied at the University of Warsaw, where he completed an MS in the Faculty of Mathematics, Informatics and Mechanics. He participated in the MATS (ML Alignment & Theory Scholars) Winter 2023 cohort under Neel Nanda's mentorship and later in a subsequent MATS cohort under Arthur Conmy, both in the mechanistic interpretability stream. His research focuses on understanding the internal mechanisms of transformer models, including work on polysemantic attention heads, circuit discovery in small transformers, stable regions in the residual stream of LLMs, sparse autoencoders, and chain-of-thought faithfulness in frontier models. He has co-authored several papers and Alignment Forum posts, including "Chain-of-Thought Reasoning In The Wild Is Not Always Faithful" (ICLR 2025 workshop) and "Characterizing Stable Regions in the Residual Stream of LLMs." He has also been involved with AI Safety Camp as a project lead. He received a grant from the Long-Term Future Fund to cover costs of leaving employment in order to pursue AI safety research.
Co-founder of Effective Giving and Ergo Impact, Dr. Kellie Liket is a social impact scholar who serves on the Development Cooperation Committee of the Netherlands Advisory Council on International Affairs (AIV) and completed a PhD on social impact measurement at Erasmus University after earning a master’s degree in development economics from the London School of Economics.
James is the Chief Operations Officer at Giving What We Can, leading finance, compliance, people, grantmaking and operations across GWWC’s entities. He previously worked as a strategy and impact consultant supporting social impact organisations across Europe and the United States, and served as Head of Finance and Operations at Safe Passage Project, a nonprofit law firm serving refugee children in New York. He has a background in social and political philosophy and is completing a PhD in organisational science focused on improving organisations that serve vulnerable populations.
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AI Security Forum and Hardware Lead at Heron, a non-profit AI security initiative based in Tel Aviv that connects cybersecurity experts with frontier AI security challenges.
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Berlin-based AI safety research engineer who evaluates frontier AI models for dangerous capabilities and currently works with METR, EquiStamp, and Redwood Research on benchmarks and evaluations.
Policy and law background, will add more shortly.
Head of 5050 at Fifty Years, where she designs and runs the 5050 program end-to-end—from operations and recruiting to partner-led workshops, founder fireside chats, and retreats. Previously she led Sigueme, building houses for low-income families in Lima, co-founded the education nonprofit Enseñame to deliver online tutoring to thousands of students, and studied entrepreneurship at Wharton to scale her impact.
Philip Trippenbach is a communications strategist and Strategy Director at the Seismic Foundation, a non-profit focused on mobilizing public demand for responsible AI governance. He is based in Stockholm, Sweden and has over two decades of experience in communications, digital strategy, and AI policy. Prior to Seismic, he held senior roles at Edelman in London, including Head of Influence and Client Strategy Lead EMEA, where he invented the RARA framework of influence adopted by global clients. Earlier in his career he was a digital producer with the BBC Current Affairs team and Editor-in-Chief of a networked journalism startup. His work connects AI governance with strategic communications, and he has received Long-Term Future Fund grants to run workshops on strategic communications for the AI safety community. He co-authored the 2025 paper "From Catastrophic to Concrete: Reframing AI Risk Communication for Public Mobilization" (arXiv:2511.06525), examining how public engagement with AI risk shifts based on framing and messaging strategies.
Dr. Dileep George is Head of AI for Astera Institute’s Neuro & AGI program, leading its neuro‑inspired AGI research division. An entrepreneur, scientist, and engineer working at the intersection of AI, robotics, and neuroscience, he previously co‑founded the AI companies Numenta and Vicarious, co‑developed the Hierarchical Temporal Memory framework, and worked at Google DeepMind on agents with memory, planning, and structure learning. He holds an MS and PhD in Electrical Engineering from Stanford University and a B.Tech in Electrical Engineering from IIT Bombay.
Narayan Subramanian is a nonresident scholar in the Sustainability, Climate, and Geopolitics Program at the Carnegie Endowment for International Peace, focusing on clean‑energy finance and industrial strategy, after previously serving as director for energy transition on the White House National Security Council and as an advisor at the U.S. Department of Energy.
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Research Associate and Head of Training Programmes at ILINA, focusing on governance of frontier AI in Global South countries, especially monitoring and reporting AI harms; she has consulted for the UN Working Group on Business and Human Rights on AI issues, is involved with the AI Safety Student Team at Harvard, and holds a first‑class undergraduate law degree from Strathmore University and an LLM from Harvard Law School.
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William MacAskill is a moral philosopher and Senior Research Fellow at Forethought whose work focuses on AGI preparedness and the long-term future. Before joining Forethought he was an Associate Professor of Philosophy at the University of Oxford. He is best known for co-founding the effective altruism movement through organisations such as Giving What We Can, 80,000 Hours, the Centre for Effective Altruism and the Global Priorities Institute, and for authoring or co-authoring the books Doing Good Better, What We Owe The Future, Moral Uncertainty and An Introduction to Utilitarianism.
Lucy Farnik is a PhD student at the University of Bristol (2023 cohort) in the UKRI Centre for Doctoral Training in Interactive Artificial Intelligence, supervised by Dr Conor Houghton and Mengyue Yang, with her research titled "Towards interpretable and controllable deep language modeling." She completed ARENA and the MATS research program under the mentorship of Neel Nanda at Google DeepMind, during which she explored SAE-based circuit-style analysis — work that led to an LTFF extension grant. Her research focuses on mechanistic interpretability of large language models, particularly sparse autoencoders (SAEs), with publications including "Residual Stream Analysis with Multi-Layer SAEs" (ICLR 2025) and "Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations" (ICML 2025). She has also been affiliated with FAR.AI and co-founded BAISC (Bristol AI Safety Student Community), a student research centre focused on AI safety. Her background includes a BEng in Computer Science with Innovation from the University of Bristol and extensive software engineering experience starting from an early age.
Agatha Duzan is a master’s student in Data Science at EPFL who works on AI safety. Public profiles and EPFL communications describe her as president of Safe AI Lausanne, the EPFL student association on AI safety, and her own activity notes that she co-led an AI safety bootcamp where she designed and taught the AI governance curriculum. She also contributes to AI safety research projects, including work on sparse autoencoders for unlearning dangerous capabilities and AI-assisted STEM education.
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Hugo Larochelle is Scientific Director of Mila – Quebec Artificial Intelligence Institute, an adjunct professor at Université de Montréal, and a leading deep‑learning researcher. Previously, he led Google’s AI research lab in Montréal, and his work has helped shape modern deep‑learning systems used in industry and academia.
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Part-time research scientist with Truthful AI; holds a PhD in Automatic Control and Robotics and works as an assistant professor at the Faculty of Mechatronics, Warsaw University of Technology; collaborates on AI safety projects related to out-of-context reasoning in large language models.
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Swadeep Singh is General Manager – Data Science at IndiaAI, where he leads the data science function within the Government of India’s national AI mission.
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Co-founder of Impact Ops and experienced operations professional; previously served as Head of Staff Support at Effective Ventures, Operations Specialist at the Centre for Effective Altruism, and Operations Manager at Brainlabs, and holds a first-class MA (Oxon) in Psychology and Philosophy from the University of Oxford.
Co‑founder and technology advisor at the Collective Intelligence Project, formerly a research engineer at DeepMind working on multi‑agent reinforcement learning and language models, and a researcher in technology governance with groups such as the Berkman Klein Center.
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