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i am the Demiurge now, so be nice
Imogen Parker is Associate Director (Social and Economic Policy) at the Ada Lovelace Institute. Her career has focused on the intersection of social justice, technology and research, including leading the Nuffield Foundation’s programmes on Justice, Rights and Digital Society and previous roles at Citizens Advice, the Institute for Public Policy Research and the 5Rights children’s digital rights charity. She is also a Policy Fellow at the University of Cambridge’s Centre for Science and Policy.
Anthropic Fellow/MATS
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PhD student at Carnegie Mellon University, CTO and co-founder of Gray Swan AI, and co-founder of the Center for AI Safety, working on AI safety and security.
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Full Professor at the Department of Computing, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and Principal Researcher at CONICET, who also holds a Readership at Imperial College London and works on software engineering and behavioural models of systems.
8 months stipend during job transition, to finish current projects (AI Goodharting, coop. AI) and find suitable next topic
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Gregory C. Allen is an artificial-intelligence and national-security policy expert who has directed the Wadhwani Center for AI and Advanced Technologies at the Center for Strategic and International Studies, leading a team of scholars on AI governance, diplomacy, geopolitics, and defense. Previously he served as director of strategy and policy at the U.S. Department of Defense’s Joint Artificial Intelligence Center, and his research and testimony on AI, export controls, and U.S.–China technology competition have helped shape U.S. and allied AI policy debates, including at the 2023 and 2024 G7 summits and the AI Safety Summit series.
Madhulika Srikumar leads the AI Safety Governance program at Partnership on AI, where she develops best practices and policy guidance to support oversight of high-risk AI systems. With a background in law and AI governance, she has worked on global technology policy at institutions such as Harvard’s Berkman Klein Center and serves on advisory bodies including the University of Cambridge’s Centre for the Study of Existential Risk.
Documentation, UX content, and systems design, with strong grounding in AI communication.
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Malcolm Ocean is a writer, software designer, and researcher on the Softmax team focused on collective intelligence, rationality, and the mechanics of trust between agents. He created Intend.do, a goal-pursuit app inspired by his work on meta-cognition, and has spent over a decade publishing essays on mutualism, cultural evolution, and how groups think together.
Niel Bowerman is the CEO of 80,000 Hours. Before joining 80,000 Hours in 2017 he served as Assistant Director at Oxford University’s Future of Humanity Institute and co‑founded the Centre for Effective Altruism, the Global Priorities Project, and the climate policy think tank Climatico. He holds a doctorate in physics from the University of Oxford and previously worked as a climate science adviser to the Office of the President of the Maldives, as well as on President Obama’s Energy and Environment Policy Team.
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4-month salary and initial expenses
Trajectory Models and Agent Simulators
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Professor and Department Head of the Machine Learning Department at Carnegie Mellon University, co-founder and Chief Scientist of Gray Swan AI, and a member of OpenAI’s Board of Directors where he chairs the Safety and Security Committee.
Board Member at the Transformative Futures Institute and Associate Professor and Associate Dean in the College of Emergency Preparedness, Homeland Security and Cybersecurity at the University at Albany, where he is also a Senior Investigator at the Center for Advanced Red Teaming.
Ad campaign for "Optimal Policies Tend To Seek Power" to ML researchers on Twitter
Head of Community @BlueDot Impact
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Internet and biotech entrepreneur and Nature‑published computational biologist who co‑founded BuildASign.com, later earned a PhD applying machine learning to biological problems at UT Austin, co‑founded Recursion Pharmaceuticals, and now works as a donor and strategist in AI safety while serving on MIRI’s board of directors.
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My allocated travel funding is insufficient. Seeking extra funding for flights, accommodation, etc, to present poster and network
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Platform for interpretability researchers, especially those creating/using Sparse Autoencoders
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Ankesh Chandaria is the CEO of The AI Safety Foundation, a Canadian charity focused on education and research on catastrophic AI risks. He is a multidisciplinary researcher and strategy advisor working on AI ethics, governance and the philosophy of technology, affiliated with the Periscope Lab at the University of Toronto and pursuing a master’s degree in AI Ethics & Society at the University of Cambridge. Previously, he practised litigation and regulatory investigations law in London and has served on non-profit boards such as the Art Gallery of Ontario. He founded theConcept.ai and writes on the societal impacts of AI for outlets including Policy Options.
Partner for mental health at Lionheart Ventures and repeat entrepreneur best known for founding car‑sharing marketplace Turo; after leaving Turo he trained as a yoga and meditation teacher and now focuses his career and resources on mental health.
Meg Sintzel is a Director of The AI Safety Foundation and a Managing Director at Accenture Canada, where she leads marketing, communications and government relations. She has more than 25 years of experience in marketing and communications leadership roles.
An MIT senior majoring in CS and economics, and passionate about AI safety
Lee M. Lockwood is a professor of economics at the University of Virginia whose research focuses on public finance and labor economics, including the effects of government social insurance programs on behavior and welfare. He is a research associate at the National Bureau of Economic Research and serves as associated faculty with EconTAI and as a member of the Board of Editors of the American Economic Journal: Economic Policy.
Dean Woodley Ball is a senior fellow at the Foundation for American Innovation whose work focuses on technological change, institutional evolution, and the future of governance. He previously served as senior policy advisor for artificial intelligence and emerging technology at the White House Office of Science and Technology Policy and as strategic advisor for AI at the National Science Foundation, following research roles at George Mason University’s Mercatus Center.
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Independent AI safety researcher. Built MTCP and ARCS the only published empirical infrastructure measuring whether AI systems hold their constraints under real operating conditions.
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6-month Scholarship to support Amritanshu Prasad's upskilling in technical AI alignment. Amritanshu will study the AGI Safety Fundamentals Alignment Curriculum and create an accessible and informative summary of the curriculum.
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