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Clear filters to view everything →AI policy fellow at the Center for Law & AI Risk with a background as a regulatory and antitrust litigator at the Australian Government Solicitor and Australian Competition and Consumer Commission, and a General Sir John Monash Scholar with law degrees from Melbourne Law School and Columbia Law School.
Kevin Wang is an AI safety researcher who participated in AI Safety Camp 6 (AISC6, Virtual 2022), a program for researchers collaborating on open problems in AI safety and existential risk. At the camp, he worked as part of a team with Jan Czechowski, Pranav Gade, and Leo McKee-Reid, with Daniel Kokotajlo serving as external mentor. The team's project, "Impact of Human Dogmatism on Training," explored how dogmatic data in training datasets affects machine learning systems and potential alignment problems that could result. The project investigated examples such as racially biased algorithms trained on historically biased data, using a small transformer model on an arithmetic dataset as a toy testbed. He received a small grant from the Long-Term Future Fund to support this work.
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Sam Ramadori is Co-President and Executive Director of LawZero, a nonprofit founded by Yoshua Bengio to develop safe-by-design AI systems. An entrepreneur in AI, he previously served as CEO of BrainBox AI, leading efforts to apply advanced AI to decarbonize the built environment, and before that spent about 15 years in private equity investing with institutional asset managers and family offices. He holds an MBA from the Richard Ivey School of Business and civil and common law degrees from the University of Ottawa.
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Stephen Wicklund is a Software Developer and Database Engineer on the Society Library’s executive/core team.
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Eli Bingham is a co-founder and director of Basis Research Institute and a machine learning fellow in the Data Sciences Platform at the Broad Institute of MIT and Harvard. He is a co-creator and core developer of the Pyro probabilistic programming language and previously worked as a senior research scientist at Uber AI Labs. His research sits at the intersection of probabilistic machine learning, programming languages, and biology, with an emphasis on turning research into robust open-source software.
Cillian Crosson is the executive director of the Tarbell Center for AI Journalism, a nonprofit that supports journalism about artificial intelligence and runs the Tarbell Fellowship, a year-long programme that provides training, stipends and newsroom placements for journalists covering AI.
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Principal at Lionheart Ventures working on investments related to psychedelic therapeutics and frontier mental health, and a speaking faculty member at conferences such as the Psychedelic Therapeutics and Drug Development Conference.
The Leverhulme Centre for the Future of Intelligence (CFI) is an interdisciplinary research centre at the University of Cambridge that explores the nature, ethics, and impact of artificial intelligence. It brings together researchers from machine learning, philosophy, social science, and other fields to address both near-term and long-term challenges posed by AI.
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A non-partisan, interdisciplinary research group based at the University of Oxford that produces policy-relevant research to mitigate global risks stemming from US-China great power competition, with a particular focus on artificial intelligence and emerging technologies.
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A nonprofit AI safety research lab that pioneers threat assessment and mitigation techniques for advanced AI systems, with a current focus on AI control protocols and detecting strategic deception in language models.
Philosopher and cognitive scientist whose work uses conceptual analysis, theoretical model building, and empirical methods to address fundamental questions about human cognition and how people think, including predictive-processing perspectives on contemplative and altered states of consciousness.
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Luisa Rodriguez is a research analyst and podcast host at 80,000 Hours, where she co‑hosts The 80,000 Hours Podcast. Previously she researched civilisational collapse at the Forethought Foundation for Global Priorities Research and nuclear risk at Rethink Priorities and as a visiting researcher at Oxford’s Future of Humanity Institute. Before moving into existential risk and global priorities, she worked on cost‑effectiveness analysis of nonprofit and government programmes at organisations including ImpactMatters, Innovations for Poverty Action, and GiveWell.
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Marieke de Visscher has been involved with Effective Altruism Netherlands for more than seven years, first as a volunteer and board member and later as co-director, helping to build the organisation from an all-volunteer group into a staffed nonprofit.
Sage builds tools to improve forecasting skills and public understanding of AI capabilities, with the goal of reducing global catastrophic risks from emerging technologies.
Cognitive scientist who obtained a PhD from the Graduate School of Systemic Neurosciences at LMU Munich, worked on the sense of agency and related topics as a postdoc at the Max Planck Institute for Human Cognitive and Brain Sciences and LMU, and has broader interests at the intersection of science and philosophy.
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Michael A. Osborne is Professor of Machine Learning at the University of Oxford, where he leads the Bayesian Exploration Lab, directs the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems, and serves as an Official Fellow of Exeter College. He is Co-Director of the Oxford Martin AI Governance Initiative and co-founder of the AI company Mind Foundry, and his research spans Bayesian optimisation, Gaussian processes, probabilistic numerics and the broader societal impacts of machine learning and AI governance.
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Soren Dayton is director of the American Governance Policy team at the Foundation for American Innovation, where he leads work to strengthen U.S. governing institutions. He has spent two decades at the intersection of politics and policy, including directing governance initiatives at the Niskanen Center and Protect Democracy, serving as a congressional staffer, and working on high-profile Republican campaigns and political organizations.
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Co‑founder and head of research at the Centre pour la Sécurité de l’IA (CeSIA), where he leads the BELLS project on benchmarking large language model safeguards. His background is in AI interpretability, with work on mechanistic interpretability and language model analysis presented at top machine‑learning conferences.
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Prediction market guy!
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Finance professional
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David Timis is a keynote speaker focused on the impact of AI on the future of work and serves as Global Communications & Public Affairs Manager at Generation, where he oversees global storytelling and EU-level advocacy while speaking and writing regularly on AI, skills, and labour markets.
Founder of the AI Whistleblower Initiative, Karl has been involved in responsible AI since 2016, beginning as a volunteer researcher at the Future of Humanity Institute. He later worked as a management consultant and founded a SaaS business that was acquired in 2023.
