Database

An Integrative Framework for Auditing Political Preferences and Truth-Seeking in AI Systems

Zou is the Senior Grants & Operations Manager at Giving What We Can, managing grantmaking, compliance and operations across the GWWC entities.

Aryeh Brill (who goes by Ari Brill) is an independent AI safety researcher focused on creating mathematical and empirical models to study how AI systems develop internal representations of the world. He holds a PhD in Physics from Columbia University (2021) and a BS in Physics from Yale University (2015), where he graduated cum laude with distinction in physics. Prior to pivoting to AI safety research, he was a NASA Postdoctoral Program Fellow at NASA Goddard Space Flight Center, where he used deep learning and statistical analysis to investigate high-energy extragalactic astrophysics, particularly gamma-ray emission from blazars. He is currently a Research Affiliate at PIBBSS (Principles of Intelligent Behaviour in Biological and Social Systems) and has published work on neural scaling laws and interpretability. His research has been supported by the Long-Term Future Fund (2024 Q2, $45,000 for 12-month independent AI alignment research) and Coefficient Giving.

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6-month salary to translate AGI safety-related texts, e.g. LessWrong and AI Alignment Forum, into Russian

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Founder and CEO of Atlas Computing, a nonprofit mapping and prototyping ways to scale human review and provable safety of advanced AI; previously built and led a venture studio and the research grants and metascience team at Protocol Labs; holds a PhD in Applied Physics from Caltech and a BS in Materials Engineering from Stanford.

Independent Researcher

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Coleman Snell is an AI governance and strategy researcher completing his undergraduate degree in psychology and philosophy at Cornell University. He was a visiting researcher at the Centre for the Study of Existential Risk (CSER) at Cambridge, where he conducted a 6-month AI strategy and policy research stay supervised by Seán Ó hÉigeartaigh and in collaboration with Matthew Gentzel of LongView, with a focus on cooperation and policy dimensions of AI risk. He is the founder of Cornell's AI Safety Laboratory (LAISR) and served as President of Cornell Effective Altruism for three years. Coleman is a collaborating researcher at AI:FAR (AI Futures and Risks), working on AI governance strategy and grand strategy approaches to global AI risks. He also hosts the "On What Matters" podcast, a longform interview show exploring AI risk and existential risk with researchers, academics, and policymakers.

ai evals, tools for thought, takes subjective experience seriously

Tara Steele is the Founder and Director of the Safe AI for Children Alliance (SAIFCA), an initiative dedicated to protecting children as advanced AI systems reshape society. A former intelligence officer with a first-class law degree and certifications in AI governance, ethics and safety, she focuses on the risks AI poses to children and advises policymakers, including through appearances at UNESCO and in the UK Parliament. She serves on the Council of the International Association for Safe and Ethical AI (IASEAI) and speaks internationally on AI safety and children’s rights.

Strategy Consulting Support for AI Policymakers

Dr. Prineha “Pri” Narang is a non-resident senior fellow at the Foundation for American Innovation and a quantum scientist and engineer. She is a Professor of Physical Sciences and Electrical and Computer Engineering at UCLA, where her NarangLab researches quantum materials, photonics, and quantum information, and previously served on the faculty at Harvard after earning her MS and PhD in Applied Physics from Caltech.

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Reproducing the Claude poetry planning results quantitatively

Raphael “Rafi” Cohen is director of the Strategy and Doctrine Program in RAND Project AIR FORCE, director of the National Security Program at the RAND School of Public Policy, and a senior political scientist and professor of policy analysis at the RAND School. His research spans defense strategy and force planning, Middle East and European security, civil-military relations, and related national security issues.

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Bilal Chughtai is a Research Engineer on the language model interpretability team at Google DeepMind, where he has worked since February 2025 within the broader AGI safety and alignment team. He studied Mathematics at the University of Cambridge, completing his undergraduate degree and a Part III (MMath) in 2021. Before joining DeepMind, he conducted independent mechanistic interpretability research supported by the Long-Term Future Fund, including a project mentored by Prof. David Bau of Northeastern University. He was also a fellow at the MATS (ML Alignment Theory Scholars) program. His notable publications include "A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations" (ICML 2023, co-authored with Lawrence Chan and Neel Nanda) and "Open Problems in Mechanistic Interpretability" (2025, co-authored with Lee Sharkey, David Bau, and over 25 other researchers). His research focuses on understanding the internal mechanisms of neural networks to advance AI safety.

Organizing and lobbying in the US for a global Pause on frontier AI development. (Account run by Executive Director Holly Elmore.)

Digital and human rights expert with over 25 years of experience across international development, public policy, civil society, and diplomacy, focused on freedom of expression, technology and democracy, opinion research, peacebuilding, and crisis governance.

Jamie Condliffe is the opinion editor at Transformer, running the publication’s opinion section and commissioning and editing pieces from external authors. He was previously chief content officer at Sifted, executive editor at Protocol and DealBook editor at The New York Times.

18+ preprints across multiple fields, all written on a 2GB RAM phone. $600 removes the only thing standing between me and the next body of work.

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Arran McCutcheon is an effective altruist with an interest in AI governance and policy. Originally from Kilmarnock, Scotland, he holds a postgraduate degree and has lived and worked across multiple countries including China, Portugal, Spain, and Germany. He received a Long-Term Future Fund grant of approximately $6,000 in October 2023 to support part-time work on AI governance projects and activities. He has been active in the EA community since at least 2018, contributing to discussions on AI safety, UK policy, and alignment funding on the EA Forum. He has also posted on the EA Forum about UK government policy opportunities, reflecting an interest in bridging effective altruism with institutional policy work.

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Georgia Bullen is Executive Director of Superbloom (formerly Simply Secure), a nonprofit focused on human‑centered, rights‑respecting technology and usable security and privacy. She has more than two decades of experience at the intersection of usability, design, technology, data, and policy, including leadership roles at New America’s Open Technology Institute and stewardship of the Measurement Lab initiative. Georgia serves as an advisor to TechCongress and is active in the global internet health and digital rights community.

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Max Räuker is a German AI governance researcher and infrastructure builder based in Berlin. He holds a BSc in Biology from Osnabrück University, where he was affiliated with the Institute of Cognitive Science. He worked as a Research Contractor at Rethink Priorities' AI Governance & Strategy team, co-authoring the 2023 expert survey on intermediate goals in AI governance with Michael Aird, which surveyed over 100 longtermism-aligned AI governance practitioners. He is a co-founder of AI Policy Bulletin, a publication providing policy-relevant perspectives on frontier AI governance, and was a 2023 fellow at the Talos Network, which supports European AI policy professionals. More recently, he has been working at Future Matters to shape its AI governance strategy and received funding from the Long-Term Future Fund to maintain and improve an AI governance document sharing hub, providing infrastructure for the field. He has also contributed to field-building projects in AI governance through EA Germany's employer of record program.

Jonathan Gibson is a reporter at The Dispatch based in Washington, D.C., where he covers artificial intelligence and national security. Before joining The Dispatch, he lived in London and completed a bachelor’s degree in politics and international relations at the London School of Economics and Political Science, and he is currently supported by the Tarbell Center for AI Journalism.

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Andis Draguns is a machine learning researcher and Principal Researcher at Contramont Research, a 501(c)(3) nonprofit AI safety research lab. He is also an MS student at the University of Latvia's Institute of Mathematics and Computer Science (IMCS UL) and a MATS alumnus. His research focuses on AI security and alignment, particularly adversarial robustness, cryptographic backdoors in language models, and mechanistic anomaly detection. He co-authored the NeurIPS 2024 paper "Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits," which introduced a novel class of backdoors that defenders cannot trigger even with full white-box access. He received LTFF funding for a project on finding and characterising provably hard cases for mechanistic anomaly detection, a technique aimed at flagging when AI systems produce outputs for anomalous internal reasons.

Dr. John Beieler is the Executive Director of the Applied Research Laboratory for Intelligence and Security (ARLIS) at the University of Maryland, where he leads applied research efforts in areas such as artificial intelligence, quantum computing, human–machine teaming, and social and behavioral sciences for the national security enterprise. Before joining ARLIS, he served as Assistant Director of National Intelligence for Science & Technology and Director of Science and Technology at the Office of the Director of National Intelligence, where he was also the Intelligence Community’s Chief Artificial Intelligence Officer. Earlier in his career, he was a program manager at the Intelligence Advanced Research Projects Activity, a research scientist at the Johns Hopkins Human Language Technology Center of Excellence, and a data scientist at Caerus Associates. He holds a Ph.D. and M.A. in political science from Pennsylvania State University and a B.A. in political science from Louisiana State University.

Exploring grounds to apply quantum physics in AI

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Industry 4.0 specialist and Managing Partner at Syndustry, serving as treasurer of the Existential Risk Observatory and overseeing the foundation’s organization and accounting.