Database

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.

AGI safety Research Scientist at Anthropic. Previously Research Fellow at Machine Intelligence Research Institute.

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.

Funding for building agents with causal models of the world and using those models for impact minimization.

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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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Kane Nicholson is a Machine Learning Engineer at Leonardo AI (a Sydney-based generative AI platform acquired by Canva in 2024), based in Australia. He holds a Bachelor of Engineering from Queensland University of Technology (QUT) in Brisbane. Prior to his ML career, he worked as a Software Engineer at Reel Time Gaming and as a Programming Tutor at QUT Law Society. He received a Long-Term Future Fund grant equivalent to six months of salary to fund a career transition and upskilling period with the goal of entering AI safety work. Following this upskilling grant, he transitioned into machine learning engineering at Leonardo AI.

Explainable backs content creators shaping how the world understands AI, running fellowships and campaigns to communicate AI safety research to broader audiences.

Scott Singer is a co-founder and strategic leader of the Oxford China Policy Lab and a fellow in the Technology and International Affairs Program at the Carnegie Endowment for International Peace, where he works on global AI development and governance with a focus on China. His research and policy work centre on US–China AI relations, structural risks in the US–China relationship, and emerging technology governance, and he has contributed to landmark reports including the California Report on Frontier AI Policy and the International AI Safety Report. Scott holds a PhD in International Relations from the University of Oxford, where he was a Clarendon Scholar, and previously worked for the U.S. State Department and U.S. Senate.

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David Teter works with donors and partners at Open Philanthropy’s successor organization Coefficient Giving on high‑leverage work in AI and biosecurity; before joining, he helped start Ergo Impact, built a grants function at Effective Giving, and previously worked at BlackRock on long‑term growth and strategy.

Making sure AI systems don't mess up acausal interactions

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Aryeh Englander is a mathematician and AI researcher at the Johns Hopkins University Applied Physics Laboratory (APL), where he focuses on AI safety and AI risk analysis. He is also pursuing a PhD in Information Systems at the University of Maryland, Baltimore County (UMBC), with research centered on decision and risk analysis under extreme uncertainty, particularly regarding potential existential risks from very advanced AI. In 2021, he received a $100,000 grant from the Long-Term Future Fund to replace income lost from reducing to half-time at APL in order to pursue his doctorate, with the rationale that a PhD would position him for greater leadership and influence over AI safety practices at a major federal research institution. He is a co-leader of the Modelling Transformative AI Risks (MTAIR) project alongside David Manheim and Daniel Eth, and co-authored the paper TanksWorld: A Multi-Agent Environment for AI Safety Research. Englander is an active contributor to the AI Alignment Forum, LessWrong, and EA Forum communities.

Funding a new computer for AI alignment work, specifically a summer PIBBSS fellowship and ML coding

Matt Beard is an advisor at 80,000 Hours, where he provides one‑on‑one career advising focused on high‑impact paths, especially in AI governance and policy. Before joining 80,000 Hours he worked as a legislative staffer on Canada’s National Security Committee, managed a Member of Parliament’s legislative office, and held policy analyst and grantmaking roles in the Canadian civil service. He holds an MA in political science and is based in Washington, DC.

Sören Mindermann is a machine learning researcher and AI safety scientist currently based in Montreal, where he is a postdoctoral researcher at Mila (Quebec Artificial Intelligence Institute) under Yoshua Bengio. He completed his DPhil (PhD) in machine learning at the University of Oxford (2019-2023), supervised by Yarin Gal at the OATML group and Allan Dafoe at the Centre for the Governance of AI, co-funded by Oxford and Google DeepMind. He also holds degrees in machine learning from UCL and in mathematics and Future Planet Studies from the University of Amsterdam. He served as the Scientific Lead of the first International AI Safety Report (2025), a comprehensive review of AI capabilities and risks backed by 33 nations, and is a Research Affiliate at the Oxford Martin AI Governance Initiative. His research covers AI safety evaluations, large language model honesty, data selection for large-scale deep learning, causal inference, and health applications of machine learning. Notable publications include co-authorship on "The Alignment Problem from a Deep Learning Perspective" (ICLR 2024), "Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training" (2024), and "Managing Extreme AI Risks amid Rapid Progress" (Science, 2024), as well as influential COVID-19 policy intervention studies published in Science and Nature Communications. He received funding from the Long-Term Future Fund for his AI strategy PhD at Oxford/FHI.

Professor Julia Powles is the Executive Director of the UCLA Institute for Technology, Law & Policy at UCLA School of Law and UCLA Samueli School of Engineering, and Tech Policy Lead for the university-wide UCLA DataX initiative. Her research and teaching focus on privacy, intellectual property, internet governance, and the law and politics of data, automation and artificial intelligence.

Ex product design @ whatsapp, neeva.

One-course teaching buyout for Steve Peterson for two academic semesters to work on the foundational issue of *agency* for AI safety

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Mythos Ventures is an early-stage venture capital firm investing in prosocial technologies and safe AI systems. They back pre-seed and seed-stage founders building AGI-resilient, positive-impact companies.

Kayla Blomquist is the Co-founder and Executive Director of the Oxford China Policy Lab and a DPhil researcher at the Oxford Internet Institute, specialising in AI governance, US–China relations, and international technology competition. She previously served as a U.S. diplomat in China, focusing on governance of emerging and dual-use technologies, human rights, and the use of new technology in government services. Kayla’s academic background includes an MSc from the Oxford Internet Institute and a BA with honours in International Relations, Public Policy, and Mandarin Chinese from the University of Denver, and she is professionally fluent in Mandarin.

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Martin Tisné is the chief executive officer of the AI Collaborative, an initiative of The Omidyar Group created to ensure that artificial intelligence is governed in the public interest. A longtime philanthropic entrepreneur, he previously led the Data & Digital Rights impact area at Luminate and helped found multistakeholder initiatives such as the Open Government Partnership and other transparency-focused NGOs.

Undergrad buyout to teach AI safety in Hong Kong’s new MA program on AI; China-West AI Safety workshop

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The ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) is a premier peer-reviewed academic conference that brings together researchers and practitioners to investigate fairness, accountability, and transparency in socio-technical systems.

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Software engineer with a mix of practical industry experience and formal qualifications whose research interests include software development methodologies and ethics for artificial intelligence systems, and who is listed as a researcher with ARAAC.