Zheyuan (Frank) Liu is a computer science PhD student at the University of Notre Dame, advised by Meng Jiang and affiliated with the DM2 and Lucy Family Institute’s foundation‑models lab. His research focuses on foundation‑model safety and trustworthy generative AI, including work on safer large language models, multimodal safety benchmarks, and machine‑unlearning methods for large models.

The Vista Institute for AI Policy builds AI law and policy as an academic field and develops talent for careers in AI governance, with a focus on promoting risk-mitigating U.S. regulation.

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Alexander (Alex) Siegenfeld is an independent researcher applying concepts and methods from statistical physics to understand complex social, political, and economic systems. He received a B.S. in physics and mathematics (2015) and a Ph.D. in physics (2022) from MIT, where he worked under Yaneer Bar-Yam at the New England Complex Systems Institute and the MIT Center for Constructive Communication. His doctoral research used multiscale analysis to identify leverage points for intervention in democratic elections, pandemics, and macroeconomic development, and his review article "An Introduction to Complex Systems Science and Its Applications" (co-authored with Bar-Yam) was named Article of the Year 2020 by the journal Complexity. He was a postdoctoral fellow at the New England Complex Systems Institute and has held visiting scholar positions including an ELLIIT scholar role in Sweden. In 2019, while a fifth-year PhD student, he received a $20,000 grant from the Long-Term Future Fund to conduct deconfusion research for AI safety, developing improved formalisms for analyzing complex systems at differing scales of abstraction; MIRI also offered him an internship based on this work. He won a gold medal at the 2010 International Chemistry Olympiad and is a Fannie and John Hertz Foundation fellow.

Jane Munga is a fellow in the Africa Program at the Carnegie Endowment for International Peace, where she leads research on technology policy and Africa’s digital transformation, focusing on digital economy governance, digital inclusion, and cross‑border digital partnerships.

UK Lead at Fifty Years who co-founded Enapter, a green hydrogen company that grew to around 250 employees, went public, and deployed thousands of electrolysers to decarbonize power, mobility, and industrial heat applications; she now leverages that experience to support 5050 cohorts in the UK deep-tech sector.

Co-founder of Catalyze, an AI safety incubator, who moderates events on AI safety entrepreneurship and helps founders explore and build impactful AI safety organizations.

David Lorell is an independent AI alignment researcher who works closely with John Wentworth on the natural abstraction research agenda. He has co-authored multiple posts and a peer-reviewed paper with Wentworth, including "Natural Latents: Latent Variables Stable Across Ontologies" (arXiv:2509.03780, 2025), which develops a mathematical framework for latent variables that remain stable across different agent ontologies. His role in the collaboration involves serving as an active intellectual sounding board — asking for clarifications, requesting examples, and probing how theoretical ideas connect to broader alignment goals — a contribution John Wentworth has credited with multiplying his research productivity severalfold. Lorell is an active participant on LessWrong and the AI Alignment Forum, where he has been a member since 2022 and has contributed posts and comments on topics including natural latents, instrumental goals, coherence theorems, and corrigibility. He has also been acknowledged for discussion by EA and alignment researchers such as Joe Carlsmith. He has received general support funding for his independent alignment research work.

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Philip E. Tetlock is a professor of psychology and management at the University of Pennsylvania’s Wharton School and a leading scholar of judgment and forecasting. He co-founded the Good Judgment Project, helped establish the practice of superforecasting, and serves as President and Chief Scientist of the Forecasting Research Institute, which he helped found to extend forecasting methods to high-stakes policy and existential risk questions.

Founder of the Singapore AI Safety Hub and Programme Specialist at the Centre for the Governance of AI, with around seven years’ experience in AI governance, product and strategy roles across Europe and Asia.

Eugene Bagdasarian is an Assistant Professor of Computer Science in the Manning College of Information and Computer Sciences at UMass Amherst and a senior research scientist (part-time) at Google Research. His work focuses on security and privacy attack vectors in deployed and emerging AI systems, aiming to make these systems trustworthy, safe, ethical, and resilient to attacks; he co-leads the AI Security Lab and co-leads the AI Safety Initiative with Shlomo Zilberstein.

Paul Vallée is a CIGI senior fellow and founder and CEO of Tehama, a remote‑work platform he spun out after founding data‑services firm Pythian, drawing on decades of experience in distributed digital infrastructure.

Computational cognitive neuroscientist who serves as Program Lead for the AI Objectives Institute’s Moral Learning project. She is an Assistant Professor in the Department of Cognitive Sciences at UC Irvine and an affiliated researcher with AOI, studying how humans learn and represent concepts and how those principles can inform AI systems that align with individual values.

Gerold Csendes is an AI Engineer at Turbine Ltd., a Budapest, Hungary-based startup that applies deep-learning cell simulations to cancer research and drug discovery. His research interests span AI, computational biology, AI safety, and cancer research. He co-authored the 2025 paper "Benchmarking foundation cell models for post-perturbation RNA-seq prediction" (BMC Genomics), evaluating whether foundation models outperform simpler baselines for predicting cellular responses to perturbations. He has received funding to support his transition from AI capabilities work into AI safety research. He maintains a personal blog at geroldcsendes.github.io covering machine learning topics, and has applied to the SERI MATS program, indicating engagement with the AI safety research community.

Bo Li is CEO and co-founder of Virtue AI and a Professor at the University of Illinois Urbana-Champaign, where her research focuses on machine learning security, trustworthy AI, and adversarial robustness.

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Joshua (Josh) New is Director of Policy at SeedAI, where he leads the organization’s AI and science policy agenda and public policy thought leadership, including work on national AI readiness and science acceleration. Previously, he led public policy efforts on generative AI and AI safety, open innovation, and related technology issues at IBM and has prior experience at the Center for Data Innovation, Swiss Re, and the U.S. Office of the Comptroller of the Currency.

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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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.

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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.

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.

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.

A research center at UC Berkeley dedicated to developing the foundations of provably beneficial AI systems, ensuring that advanced AI remains aligned with human values and preferences.

Said Achmiz is a web developer and long-standing contributor to the rationalist and effective altruism communities. He is the creator and maintainer of GreaterWrong (greaterwrong.com), an alternative frontend for LessWrong built in Common Lisp, and ReadTheSequences.com, an HTML version of Eliezer Yudkowsky's Rationality: From AI to Zombies. From 2017 onward he developed much of the design and interactive JavaScript/CSS infrastructure for Gwern.net, including its popup annotation system, sidenotes, and dark mode. He studied Computer Science (major) and Cognitive Science (minor) at Brooklyn College (CUNY) and conducted summer research at UC Santa Cruz through the SURF-IT program. He has published academic work in human-computer interaction, including research on cursor behaviors and touchless large-display interaction. He received a $60,000 grant from the Long-Term Future Fund for developing and maintaining projects and resources used by the EA and rationality communities. He has been an active LessWrong commenter since 2010 with over 4,500 comments and more than 17,000 karma.

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A Dutch foundation (stichting) that uses legal expertise and advocacy within Europe to promote safer development and deployment of frontier technologies including AI, biotechnology, and nuclear technology.

OpenMined is a 501(c)(3) nonprofit building open-source privacy-preserving AI infrastructure that enables secure computation across siloed data. Their tools allow AI auditors and researchers to evaluate proprietary AI systems without requiring direct access to sensitive models or data.

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.

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.

Stanford University is a leading research university hosting several AI safety-relevant programs, including the Human-Centered AI Institute (HAI), the Existential Risks Initiative (SERI), the Center for International Security and Cooperation (CISAC), and the Center for AI Safety.

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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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