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Marc Singer is co-founder and Managing Partner of Osage University Partners, a venture firm investing in university spinouts, where he oversees technology investments and has over 30 years of experience in venture capital.

Adam Rutkowski is an engineer and entrepreneur based in San Francisco who received a Long-Term Future Fund grant to pilot an EA hardware lab for prototyping hardware relevant to longtermist priorities. He is a co-founder and CTO of Marathon Fusion, a fusion energy startup developing fuel cycle technologies to accelerate commercial fusion energy deployment. He previously worked as a Propulsion Engineer at SpaceX and in thermal/fluids engineering at Otherlab. He studied plasma physics at Princeton University (MA in Astrophysical Sciences) and received a BA in Physics from Carleton College. He is a Breakthrough Energy Innovator Fellow. Marathon Fusion has received support from the U.S. Department of Energy and investors including the 1517 Fund and Breakthrough Energy Ventures.

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Gideon Futerman is a researcher focused on AI safety and existential risk, currently working as a Special Projects Associate at the Center for AI Safety (CAIS) and as a MATS (ML Alignment Theory Scholars) scholar on gradual disempowerment research. He studied Earth Sciences at St Edmund Hall, University of Oxford, where his academic interests first led him into existential risk research through the lens of solar radiation modification (SRM) and climate change. He has been affiliated with the Centre for the Study of Existential Risk (CSER) at Cambridge, contributing to work on how SRM interacts with global catastrophic risk scenarios. His AI safety research spans governance and policy approaches to advanced AI, including analysis of pathways to slowing AI development, international coordination to avoid an artificial superintelligence race, and the systemic risks of gradual human disempowerment as AI capabilities increase. He writes on these topics at his Substack and has published at AI Frontiers, The Oxford Scientist, and co-authored an SSRN paper on escalation pathways in the age of solar geoengineering.

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Nicky Case is an independent Canadian creator specializing in interactive explorable explanations and educational games. Born in Singapore and raised in Canada, they dropped out of UBC's Computer Science program and worked briefly as a software engineer at Electronic Arts before becoming a full-time independent creator funded through Patreon. They are best known for projects such as "Parable of the Polygons" (a simulation on systemic bias), "The Evolution of Trust" (an interactive game theory explainer), and "Adventures with Anxiety," all of which aim to help people understand complex systems through play. In the AI safety space, they received a Long-Term Future Fund grant for a one-year stipend to create accessible explainers on AI alignment, which resulted in the "AI Safety for Fleshy Humans" series hosted at aisafety.dance, developed in collaboration with Hack Club. In early 2025 they also participated in the MATS AI Safety Research Bootcamp in London.

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Brendan Steinhauser is the CEO of The Alliance for Secure AI Action and a partner at the public affairs firm Steinhauser Strategies, where he draws on a long career in political strategy and communications.

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Democracy and human rights advocate with around 20 years of experience in Southeast Asia, who spent 19 years at The Habibie Center and later served as Public Policy Director for Southeast Asia at Meta, working on democracy, good governance, women and peacebuilding, and empowering civil society.

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PhD student in computer science at Stanford University whose research expertise, as listed on OpenReview, includes instruction tuning and related NLP methods.

Amgoth Raghavendra is a machine learning and AI safety researcher whose work includes co-creating AI safety governance interactive educational materials and contributing to research agendas on how transformative AI could affect non-human animals, for example through the FutureKind AI Fellowship.

Senior Research Fellow at LawAI whose work focuses on international institutional designs for AI governance regimes, the effects of AI on international law, and adaptive technology law. He is the author of Architectures of Global AI Governance (Oxford University Press, 2025) and has contributed extensively to LawAI’s research agenda on international AI institutions and long‑term AI governance.

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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.

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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.