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Epoch AI is a nonprofit research institute that tracks and forecasts the trajectory of artificial intelligence by analyzing trends in compute, data, algorithmic efficiency, and capabilities. It produces leading databases and quantitative models to help policymakers, researchers, and funders understand the pace and impact of AI progress.

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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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Guide Labs builds interpretable AI systems and foundation models that humans can reliably understand, audit, and steer. Their flagship model, Steerling-8B, is the first inherently interpretable large language model at scale.

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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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AXRP is a podcast hosted by Daniel Filan featuring in-depth interviews with AI safety researchers about their published work and how it might reduce the risk of AI causing an existential catastrophe.

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Oregon State University is a public research university in Corvallis, Oregon, whose hardware security research group contributed to AI compute governance through the Survival and Flourishing Fund's FlexHEG (Flexible Hardware-Enabled Guarantees) program.

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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).

prodigal son

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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.

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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.

Wendy Schmidt is an American philanthropist and investor who serves as president and co-founder of the Schmidt Family Foundation and Schmidt Ocean Institute and has created and led multiple philanthropic initiatives focused on clean energy, resilient food systems, healthy oceans, human rights, and scientific research, including the 11th Hour Project, Schmidt Marine Technology Partners, 11th Hour Racing, Remain, and Schmidt Sciences.

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Joar Skalse is an AI safety researcher who completed his DPhil in Computer Science at the University of Oxford in 2025, supervised by Professor Alessandro Abate and supported by the Future of Humanity Institute. He received his BA and MCompPhil in Computer Science and Philosophy at Oxford, graduating top of year. His doctoral research focused on safe reinforcement learning, reward learning, and misspecification, with particular emphasis on formally defining and characterizing reward hacking. He is best known for co-authoring the influential mesa-optimizers paper ("Risks from Learned Optimization in Advanced Machine Learning Systems") as an undergraduate, and for his NeurIPS 2022 paper "Defining and Characterizing Reward Hacking". His work also includes contributions to mechanistic interpretability, the STARC framework for comparing reward functions, and the "Towards Guaranteed Safe AI" framework. He has been affiliated with FAR AI as a researcher and is co-founder and CEO of Deducto Limited, a startup applying reinforcement learning. He received a $10,000 grant from the Long-Term Future Fund in 2019 to upskill in machine learning and accelerate his contributions to AI safety research.

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Victor Shepardson is a co-founder of the Berryville Institute of Machine Learning and a machine learning researcher and engineer whose work spans deep learning, music and interactive systems, including roles at Ntrepid and the University of Iceland’s Intelligent Instruments Lab. He co-authors BIML’s foundational papers on security engineering for machine learning and architectural risk analysis of ML systems.

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Americans for Responsible Innovation (ARI) is a bipartisan 501(c)(4) nonprofit that advocates for thoughtful AI governance frameworks in the United States. It works to help policymakers develop policies that protect the public from AI-related harms while maintaining American technological leadership.

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Daniel Barcay is the executive director of the Center for Humane Technology and a co‑host of the podcast Your Undivided Attention. A technologist and former vice president of product at Planet Labs, he now focuses on how powerful technologies reshape human psychology, relationships, and control, drawing on experience in software engineering, strategy, and research fellowships.

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