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.

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.

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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Michael (Mik) Zlatin is an Assistant Professor of Computer Science at Pomona College in Claremont, California, where he joined the faculty in 2025. He earned his Ph.D. in Algorithms, Combinatorics and Optimization from Carnegie Mellon University's Tepper School of Business, where he was advised by Gérard Cornuéjols and served as a teaching assistant for courses including Integer Programming and Design and Analysis of Data Structures and Algorithms. His dissertation, "Polyhedral and Algorithmic Methods in Network Connectivity," received the Gerald L. Thompson Doctoral Dissertation Award in Management Science. After completing his PhD in 2024, he held postdoctoral fellowships at Carnegie Mellon University (hosted by R. Ravi) and the Weizmann Institute of Science (hosted by Robi Krauthgamer). His research focuses on network connectivity, approximation algorithms, polyhedral methods, and combinatorial optimization, with notable publications at venues including SODA, FOCS, and ESA; his work on Steiner connectivity augmentation won the Best Student-Paper Award at ESA 2024. He received a grant from the Long-Term Future Fund during his PhD to buy out teaching assistant duties, enabling more focused research time.

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.

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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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.

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Arb Research is a small research consultancy producing rigorous, independent analysis on AI safety, forecasting, and related topics for funders and organizations in the effective altruism ecosystem.

Jade Zaslavsky is a biosecurity researcher working on the application of machine learning to detect genetic engineering in pathogens. In June 2022, Zaslavsky received an $85,000 research stipend from the Long-Term Future Fund (LTFF) to support a 12-month project developing ML models for this purpose. This area of research sits at the intersection of computational biology and biosecurity, focusing on identifying signatures of genetic modification in pathogen sequences to support attribution and early warning capabilities. Zaslavsky has an account on the Effective Altruism Forum, created in July 2020, though no public posts or comments are available.

Dr Kerry McInerney (née Mackereth) is an AI ethics researcher whose work focuses on how artificial intelligence intersects with race, gender, inequality and global politics. She has held roles as a Research Fellow and Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence, co‑leading the Global Politics of AI project, and is a Lecturer in AI at the University of Auckland School of Computer Science as well as a Research Fellow at the AI Now Institute. She co‑hosts The Good Robot podcast on feminism and technology, is an AHRC/BBC Radio 3 New Generation Thinker, and is co‑editor or co‑author of volumes such as Feminist AI and The Good Robot: Why Technology Needs Feminism.

Claudio Mayrink Verdun is a Research Manager at the Cambridge Boston Alignment Initiative, supporting fellows on technical AI safety projects and contributing to research outputs showcased on CBAI’s research page.

PhD candidate at the University of Groningen and visiting researcher in Dr Francisco Cruz’s lab at UNSW, whose research focuses on fundamental reinforcement learning methods, particularly improving efficiency and reducing bias, and who is listed as an affiliate of ARAAC.

AI safety researcher and consultant working with the Truthful AI group, after more than a decade as a software developer; ARENA and Astra Fellowship alumnus focused on out-of-context reasoning in large language models and related alignment problems.

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A comprehensive, living database of over 1,700 AI risks extracted from published frameworks and organized through causal and domain taxonomies, maintained as a program within MIT FutureTech.

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Dequn Teng is a third-year PhD candidate in Engineering at the University of Cambridge’s Institute for Manufacturing (IfM), where he researches how human–algorithm interactions affect analytical creativity in algorithmic trading and the strategic value creation of emerging algorithmic innovations. His work bridges computer engineering, technology management and organisational strategy, and he serves as Vice President of the Cambridge Algorithmic Trading Society (CUATS).

German- and Ontario-trained lawyer specializing in data and AI governance, working as a consultant on privacy and AI compliance, a privacy thought leader at Private AI, and serving as Policy Lead and Board Member at AI Governance and Safety Canada.

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New York University is a major private research university in New York City, home to several AI safety-relevant research groups including the NYU Alignment Research Group and the Center for Responsible AI.

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