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Emily Grundy is a policy officer at Good Ancestors, where she works on practical policy responses to Australia’s biggest AI-related risks. She previously worked on MIT’s AI Risk Repository and has conducted behavioural science research at Monash University, contributing to global efforts to map and analyse risks from artificial intelligence.

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James Bregan is the co-founder and CEO of Constellation Institute. He previously held senior technology leadership roles at PayPal, where he helped scale the company from roughly 100 to 10,000 employees and served as EVP Engineering during its acquisition by eBay, and he has spent much of his career building startups in both the nonprofit and for-profit sectors.

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Melanie Plaza is CTO at AE Studio with more than 10 years of experience building products and leading teams for early-stage startups and tech companies; she previously served as CTO at To The Tens, co-founded ELIX, worked as a full-stack developer at several LA-based startups, and holds a B.S. from Yale University focused on statistical analysis of ecological systems.

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PhD student in the ML4STS Lab working on task-level fairness and fair feature selection in machine learning systems.

Krzysztof Gwiazda is a Polish individual pursuing entry into AI safety research, specifically mechanistic interpretability. In Q3 2024, he received a $5,000 grant from the Long-Term Future Fund to support a two-month period of upskilling in mechanistic interpretability, with the aim of completing two to three projects in the field before exploring adjacent areas. His background appears to be in software and computer science. He represents an early-career pathway into technical AI safety research through self-directed study supported by EA-aligned funding.

Maximilian Negele is a researcher at the RAND Center for AI, Security, and Technology, where he leads European frontier AI policy work, and a Research Affiliate at the Oxford Martin AI Governance Initiative. His research focuses on the geopolitics of AI, frontier AI risk management, multinational advanced AI development, and EU AI policy including the EU AI Act. Before joining RAND, he co-founded cFactual, an AI-focused non-profit consulting firm, worked as a strategy consultant at Boston Consulting Group, and served as a summer fellow and research assistant at the Centre for the Governance of AI. He holds an M.Phil. in Economics from the University of Oxford and a B.A. in Liberal Arts and Sciences from University College Roosevelt (Utrecht University). His connection to the effective altruism and long-termist community dates to around 2016, when he interned at Giving What We Can and the Centre for Effective Altruism; he was also a 2019 Global Priorities Fellow at the Forethought Foundation. He received a Long-Term Future Fund grant in 2020 to research the historical longevity and decay of universities, philanthropic foundations, and Catholic orders in collaboration with Phil Trammell at the Global Priorities Institute, work intended to inform the feasibility of establishing multi-century charitable foundations for patient philanthropy.

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Théo Knopfer is a French biosecurity and AI policy researcher originally from Martinique, who studied English in Lyon, France, and wrote his Master's thesis on Anglo-European defence integration during the Cold War. He is a 2023 Fellow of the Foresight Institute and has been involved with EA France and Effective Thesis as a volunteer. His research focuses on assessing the threat of terrorist use of emerging technologies, particularly AI and biotechnology, with a special emphasis on European biodefence policy and military AI. He received grants from the Long-Term Future Fund to explore biosecurity policy projects including work on the Biological Weapons Convention and European early detection systems, and received travel support to attend the BWC Review Conference. He also led the translation of the 80,000 Hours Career Guide into French, funded by Open Philanthropy. His long-term goal is to pursue policy advocacy in governmental organisations to improve decision-making in high-uncertainty situations through empirical and factual evidence.

Lethal Intelligence is an AI risk awareness media project producing original explainer films, podcasts, and social media content about the existential dangers of advanced AI systems.

A French nonprofit research organization working alongside government institutions to address the security and international coordination challenges posed by general-purpose AI development.

Antony (Ant) Rowstron is a computer systems researcher serving as a senior technology leader at ARIA, after more than two decades at Microsoft Research where he was a Distinguished Engineer. His work has spanned storage, networking, distributed systems, and optical and robotics technologies for cloud data centres.

Nancy Staudt is vice president at RAND and the Frank and Marcia Carlucci Dean of the RAND School of Public Policy, where she is leading efforts to expand the school’s impact, grow its student body, and strengthen its role in training the next generation of policy leaders. A nationally recognized scholar in tax, tax policy, and empirical legal studies, she previously served as dean and the Howard and Caroline Cayne Distinguished Professor at Washington University School of Law and earlier held senior academic leadership roles at the University of Southern California, including vice dean at the Gould School of Law and founding codirector of the Schwarzenegger Institute of State and Global Policy.

Effective Altruism Sweden is a Stockholm-based nonprofit that builds the Swedish effective altruism community through career coaching, fellowship programs, and project incubation. Founded in 2016, it is one of the most established national EA organizations globally.

A university research lab at the University of Rhode Island directed by Dr. Sarah M Brown, studying how machine learning interacts with complex socio-technical systems, with a focus on fairness of automated decision-making and AI safety evaluation.

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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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A research-focused think-and-do tank that conducts empirical research across animal welfare, global health and development, AI, and other cause areas to uncover high-impact, neglected opportunities for improving the lives of humans and animals.

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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WhiteBox Research is a Manila-based nonprofit that trains early-career researchers in mechanistic interpretability and AI safety, with a focus on building research capacity in Southeast Asia.

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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A free in-person bootcamp in Switzerland introducing students and early-career researchers to AI safety through technical and conceptual coursework. The camp covers alignment, mechanistic interpretability, and governance tracks.

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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.