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Clear filtersCurriculum Developer & Instructor at the Center for Applied Rationality. Jack studied psychology and gender and has previously worked in roles including event planning, data research, and legal assistance, and is especially interested in gaming, structured analysis, and deep conversations about culture and identity.
Showing 2301-2350 of 3285 results
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Clear filters to view everything →Peter Barnett is a researcher at the Machine Intelligence Research Institute (MIRI), where he works on the Technical Governance Team focusing on international coordination and governance strategies to prevent catastrophic outcomes from advanced AI. He holds a Master's degree in Physics from the University of Otago in New Zealand, where he conducted research in quantum optics and quantum fluids. He transitioned into AI safety work through the first cohort of the MATS (ML Alignment Theory Scholars) program and subsequently worked at the Center for Human-Compatible AI on reward learning before joining MIRI in December 2022, initially on technical alignment and later shifting to technical governance. His governance research includes verification mechanisms for international AI agreements, distributed training oversight, and AI capability red-lines. He has authored a book on AI x-risk aimed at policymakers and the general public, and is active on LessWrong and the Alignment Forum under the handle peterbarnett.
Nicholas Kees Dupuis is an AI alignment researcher and entrepreneur who co-founded Mosaic Labs, a nonprofit R&D organization developing AI-facilitated group deliberation tools, where he serves as CEO alongside co-founder and CTO Sofia Vanhanen. He holds a Master's degree in Artificial Intelligence from the University of Groningen (2022), where his thesis focused on theory of mind for multi-agent coordination. He conducted research at EleutherAI under Kyle McDonell and Laria Reynolds, studying how finetuning methods can cause alignment failures analogous to those in reinforcement learning, and has published academic work on computational social choice including the paper "Condorcet Markets" (2023). He is best known in the AI safety community for his influential "Cyborgism" essay on the Alignment Forum (February 2023), which proposed a strategy of using human-in-the-loop systems to safely accelerate alignment research by empowering human agency rather than outsourcing it; he subsequently led the Cyborgism track at AI Safety Camp 2023. He received a $120,000 one-year grant from the Long-Term Future Fund to continue developing his research agenda on making LLMs directly useful for alignment research without advancing capabilities. His personal website is lovedoesnotscale.com and he maintains a Substack under the same name.
Co-founder and co-director of Geodesic Research, leading technical AI safety work within the Meridian Cambridge community.
Connor Dunlop is a researcher and strategist working at the intersection of AI governance, compute security, and geopolitics, with experience spanning frontier AI policy research, hardware‑enabled verification, foresight, and institutional design.
Journalism executive and philanthropy leader who serves as chair of the Hudson Institute Board of Trustees and previously ran business operations at Commentary magazine; she also sits on the board of the Flourishing Future Foundation, which supports research on controlling advanced AI to ensure a safe and flourishing future.
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Building high signal AI community infrastructure in Los Angeles focused on talent, collaboration, and ecosystem development.
Nick Corvino is a Tarbell AI Journalism Fellow and writer for ChinaTalk. He holds an M.A. from the Yenching Academy of Peking University, where he studied Chinese philosophy and religion, and a B.A. in philosophy and international relations from Northwestern University.
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James Lester leads the Oxford AI Safety Initiative and has written about AI safety topics on the Effective Altruism Forum.
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Geoffrey Miller is an evolutionary psychologist and associate professor of psychology at the University of New Mexico. He is known for his research on sexual selection and human nature and for books such as The Mating Mind and Spent, and in recent years he has become an active public commentator on AI risk and other existential threats.
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Travis Moore is the Founder and Executive Director of TechCongress, a nonpartisan nonprofit that recruits, trains, and places technologists in Congress through the Congressional Innovation Fellowship and related programs. He previously spent six years on Capitol Hill as Legislative Director to Rep. Henry A. Waxman, former chair of the House Energy and Commerce Committee, where he focused on technology policy. Moore launched initiatives including Congress’s first digital communications training program, its first Congressional staff conference, and the Congressional Digital Service Fellowship, and he co‑founded #CongressToo, a network of former Congressional staffers that helped bring the #MeToo movement to Capitol Hill. He holds a BS in Marketing from Miami University (OH) and a master’s degree in Contemporary European Politics from the University of Bath.
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Kai Sandbrink is a DPhil candidate in computational cognitive neuroscience at the University of Oxford's Department of Experimental Psychology, based at Lady Margaret Hall. He is co-supervised by Professor Christopher Summerfield at Oxford and Professor Wulfram Gerstner at EPFL, where he is also an invited guest researcher. Prior to Oxford, he completed an MS in Neural Systems and Computation at ETH Zurich and an MA in China Studies at Peking University. His research uses deep reinforcement learning as a task-driven model of human behavior, with a focus on learning dynamics, cognitive flexibility, and exploration-exploitation trade-offs. His AI-safety-relevant work includes improving deep learning's understanding of uncertainty and designing safer, more interpretable reward functions for reinforcement learning algorithms. He is an affiliate at Concordia AI and has an interest in East-West cooperation on AI safety and governance. He received a Long-Term Future Fund grant in 2021 for starting funds and moving costs related to his DPhil project.
Second-year AI student at Inland Norway University of Applied Sciences, currently on exchange at UC Berkeley. I build ML systems and research-agent tools focused on deployment optimization, LLM serving, reproducibility, and reliable autonomous experimentation.
James Payor is an independent AI alignment researcher based in Australia. He worked as Research Staff at the Machine Intelligence Research Institute (MIRI) in Berkeley from January 2018 to April 2022, and has since been pursuing independent AI alignment research. Before MIRI, he was co-founder and CTO of Draftable, a document comparison software company based in Melbourne, from 2015 to 2017. His research focuses on agent foundations, proof-based cooperation, corrigibility, and building AI systems that maintain robust alignment with human input. He is notable for developing a method for proof-based cooperation that does not require Löb's theorem, and has published work on modal fixpoint cooperation on the AI Alignment Forum. More recently he has been working on better foundations for theorem proving, computer-assisted mathematics, and dependently-typed programming languages. In his youth he represented Australia at the 2013 International Olympiad in Informatics, earning a silver medal.
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David Duvenaud is an Associate Professor at the University of Toronto and Canada CIFAR AI Chair whose research spans machine learning, AI safety and AI governance. He co-directs the Schwartz Reisman Institute for Technology and Society, co-founded the Vector Institute for Artificial Intelligence, and previously led the Alignment Evaluations team at Anthropic. He also serves as a director of The AI Safety Foundation and has advised AI companies such as Cohere.
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Pooja Tope-Puranik is an AI researcher and machine learning engineer working primarily in healthcare, specializing in early breast cancer detection with AI; she has held ML roles at organizations such as Omdena and AI Directions and serves as a UAE ambassador for women-in-tech communities, promoting women’s participation in STEM.
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Christine A. Parlour is Professor of Finance and the Sylvan C. Coleman Chair in Finance and Accounting at Berkeley Haas. Her research focuses on institutionally complex areas such as market microstructure, banking, payment systems, fintech, and decentralized finance, and she serves as co-director of the Berkeley Center for Responsible, Decentralized Intelligence (RDI).
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Kat Woods is President and co-founder of Nonlinear. She previously co-founded Charity Entrepreneurship, an Open Philanthropy-funded charity incubator that has launched numerous charities including Fortify Health, Fish Welfare Initiative, Family Empowerment Media, and Training for Good, and co-founded Charity Science Health, which helped vaccinate over 200,000 children in India and received multiple GiveWell grants.
John Bridge is a legal researcher affiliated with the effective altruism community who received a grant from the Long-Term Future Fund to research the international viability of FHI's Windfall Clause, a policy proposal by the Future of Humanity Institute for AI developers to commit a portion of transformative AI profits to public benefit. At the time of his research, he identified as a law student. He wrote a sequence on the EA Forum titled "Towards a Worldwide, Watertight Windfall Clause" examining the legal enforceability of the Windfall Clause across seven common law jurisdictions. His published posts (May-June 2022) include analyses of inadequate contractual remedies and the challenges English law poses for good-faith obligations in AI governance agreements. He shelved the project in 2023 due to competing research demands. His work was acknowledged by Cullen O'Keefe and Haydn Bellfield, key figures in the GovAI and FHI Windfall Clause research.
Rachel Shu is the Director of Mox, an AI safety community hub in San Francisco’s Mission District, where she focuses on venue operations and community-building for researchers, engineers, and policymakers working on high-stakes questions in technology. She also works on writing and documentary projects, including cinematography for the film “SB 1047: The Battle for the Future of AI” and an Open Philanthropy–funded documentary on high-impact COVID responses.
Jack Clark is a co-founder and Head of Public Benefit at Anthropic, where he leads work at the intersection of AI policy, governance, and public benefit, and he writes Import AI, a weekly newsletter on frontier AI research and its societal implications. He previously served as Policy Director at OpenAI and, before entering AI labs, worked as a technology journalist covering supercomputers, distributed systems, and neural networks for outlets including Bloomberg BusinessWeek and The Register, as well as helping found and co-chair the AI Index at Stanford and serving on national and international AI advisory bodies.
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Rui Zhang is an Assistant Professor in the Computer Science and Engineering Department at Penn State University and a co-director of the Penn State Natural Language Processing Lab. His research focuses on trustworthy human-centered AI, LLM agents, and AI for science, and he has received recognitions including an NSF CAREER Award, a Senior Area Chair Paper Award at NAACL 2025, and an Outstanding Area Chair Award at EMNLP 2024. He is the principal investigator of an Open Philanthropy–funded project at Penn State to better mitigate sandbagging in AI models, studying behaviors such as exploration hacking and password-locking.
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Pip Foweraker is CEO of Beacon, a 501(c)(3) fiscal sponsorship agency focusing on catastrophic and existential risk, and Executive Director of Research at the Certes Institute, working on infrastructure and support for AI safety and other existential risk research.
Honours student at Deakin University focusing on transferring safety knowledge between environments using multi-objective reinforcement learning, with prior experience as a research assistant on several machine learning projects at both Deakin University and Federation University.
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Darren McKee is a Canadian author, senior policy advisor, and AI safety communicator based in Ottawa, Ontario. He holds an MSc in Experimental Psychology and a Master of Public Administration with a Global Governance concentration. McKee has served as a senior policy advisor in the Canadian federal government for over 15 years, working across domains including science and technology, behavioural science, and foresight, with roles at the Privy Council Office and Treasury Board of Canada Secretariat. He is the author of Uncontrollable: The Threat of Artificial Superintelligence and the Race to Save the World (2023), a beginner-friendly book on AI risk and safety that received endorsements from Max Tegmark, Will MacAskill, and Roman Yampolskiy, and became a number-one bestseller. McKee also co-authored a chapter on AI and autonomy in Westworld Psychology (2021) and serves as an advisor to AIGS Canada (Artificial Intelligence Governance and Safety Canada). He is the host of The Reality Check, an award-winning skepticism and critical thinking podcast ranked in the top 0.5% of podcasts globally with over 4 million downloads.
Megan Stifel is Chief Strategy Officer at the Institute for Security and Technology, where she leads organizational strategy and cyber‑related work, and is the founder of Silicon Harbor Consultants, a firm providing strategic cybersecurity operations and policy counsel after earlier service as an attorney in the U.S. Department of Justice National Security Division.
Nicholas Greig is a researcher who has worked on neural network interpretability in the context of AI safety. He received a grant from the Long-Term Future Fund (LTFF) for neural network interpretability research, indicating engagement with the EA-adjacent AI safety community.