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Friederike Schüür is Head of EU and Global AI Governance at the Ada Lovelace Institute, where she leads work to inform research and influence policy and practice on data and AI at European and international level. Previously she led data strategy and governance at UNICEF, supporting responsible use of data about children, and before joining the UN held roles as a data scientist and AI research engineer in technology start-ups. She holds degrees in cognitive science and philosophy and a PhD in cognitive neuroscience.

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Anton Korinek is a professor of economics at the University of Virginia’s Department of Economics and Darden School of Business and serves as faculty director of the Economics of Transformative AI (EconTAI) Initiative. His research analyzes how transformative advances in artificial intelligence affect economic growth, labor markets, inequality, and market concentration, with an emphasis on steering AI progress toward shared prosperity. He also holds nonresident senior fellow and research roles at institutions such as the Peterson Institute for International Economics, the Brookings Institution, the National Bureau of Economic Research, and the Centre for Economic Policy Research, and has been recognized on TIME’s 2025 TIME100 AI list and Vox’s Future Perfect 50.

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Management consultant focused on building strategy, operations and partnerships for early‑stage organisations, and Chief Operating Officer for Intelligence Rising / Technology Strategy Roleplay. She has consulted with line ministries under the Government of India on gov‑tech and policy initiatives and has an academic background in management studies with a specialisation in finance and in statistics.

Oscar Balcells Obeso is a mathematics student at ETH Zurich and AI safety researcher specializing in mechanistic interpretability. Originally from Spain, he previously studied Aerospace Engineering and Mathematics at Universitat Politecnica de Catalunya (BarcelonaTech) in Barcelona. He participated in the ML Alignment & Theory Scholars (MATS) program in its Winter 2023-24 cohort under the mentorship of Neel Nanda, and received a Long-Term Future Fund stipend to research the mechanisms of refusal in chat LLMs. His work on refusal led to the NeurIPS 2024 paper "Refusal in Language Models Is Mediated by a Single Direction" (co-authored with Andy Arditi, Aaquib Syed, Daniel Paleka, Nina Panickssery, Wes Gurnee, and Neel Nanda), which demonstrated that refusal behavior in open-source chat models is controlled by a single linear direction in the residual stream. He also co-authored the ICLR 2025 Oral paper "Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models" with Javier Ferrando, Senthooran Rajamanoharan, and Neel Nanda. He has additional experience at Anthropic and competed in the International Olympiad in Informatics in 2020 representing Spain, earning a bronze medal.

Richard Phillips is Chair of the Board of The AI Safety Foundation and a veteran Canadian finance executive. He is the founder of East West Investment Management, a Toronto-based private investment office serving high-net-worth clients and foundations, and previously served as deputy chairman and head of global capital markets at CIBC World Markets. He has also been active in the non-profit sector, chairing boards and committees focused on issues such as poverty and community development.

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Matt MacDermott is an AI safety researcher currently serving as an Astra Fellow on the technical AI safety team at Coefficient Giving. He completed his PhD at Imperial College London as part of the Centre for Doctoral Training in Safe and Trusted AI, under the supervision of Dr Francesco Belardinelli, focusing on techniques for safe reinforcement learning and the foundations of goal-directed agency. During his PhD, he worked with the Causal Incentives Working Group and was previously a research scientist at LawZero. He is a SERI MATS alumnus and has received multiple grants for AI alignment research. His published work includes "Measuring Goal-Directedness" (NeurIPS 2024 Spotlight), "Discovering Agents" (Artificial Intelligence journal, 2023), a Best Paper Award at TARK 2023 for work on multi-agent influence diagrams, and a 2025 co-authored paper with Yoshua Bengio on catastrophic risks from superintelligent agents.

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Audrey Tang is Taiwan’s Cyber Ambassador, a civic hacker and 2025 Right Livelihood Laureate who previously served as the country’s first Digital Minister from 2016 to 2024. She is known for co‑authoring the book Plurality and for pioneering open‑source, participatory digital‑democracy platforms such as vTaiwan and Join.gov.tw.

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Rafael Andersson Lipcsey is a Swedish political scientist and economist whose career spans central banking, diplomacy, research, and AI policy work. He holds a Master of Science in Economics and Management of Government and International Organizations from Bocconi University and Sciences Po, and a Bachelor of Science in Economics from the University of Gothenburg. He was a TALOS fellow in the Governance of Artificial Intelligence Programme at SIPRI (Stockholm International Peace Research Institute), where he reviewed AI-related news and contributed to research on military and civilian applications of AI. He subsequently served as a 2025 AI Policy Fellow at the Institute for AI Policy and Strategy (IAPS), where he researched a pan-European distributed AI strategy and helped develop testing and evaluation measures for military AI systems, as well as contributing to the drafting of EU codes of practice for frontier AI models. His published research includes work on the transformative effects of AI on international economics and AI diffusion pathways in low- and middle-income countries. He received a grant from the Long-Term Future Fund as a stipend for upskilling within the field of economic governance of AI.

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Daniel Atherton is an adjunct lecturer in the Writing Program at Georgetown University whose work focuses on writing and editing and on responsible artificial intelligence. He contributes to the AI Incident Database, a project of the Responsible AI Collaborative, where he writes AI incident roundups and co-authors research on AI incidents and trustworthy AI.

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Sage Andrus Bergerson is a researcher and data analyst with expertise in machine learning and AI policy. She holds an MS in Machine Learning from University College London, where her work focused on speech recognition and natural language processing, and a BS in Neuroscience and Computer Science from New York University, where she was a research fellow with the Machine Learning for Language group. She previously served as a Research Data Analyst at the Brain Resilience Laboratory (Knight Initiative for Brain Resilience) at Stanford, applying deep learning to brain resilience and aging research. Her connection to AI safety and governance includes co-authoring "The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?" (arXiv, 2024), a data-driven study examining how the disparity in computational resources between industry and academia threatens independent scrutiny of advanced AI systems, produced in collaboration with Epoch, MIT CSAIL's FutureTech group, and the Centre for the Governance of AI (GovAI). She received a small grant from the AI Risk Mitigation Fund to support this work. Past affiliations include DMM.com Group, the Office of the Director of National Intelligence, Stanford CISAC, and the NYU Center for Data Science.

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Jose Groh is an astrophysicist and independent researcher who received a career transition grant to pursue AI safety and risk mitigation research. He holds a PhD in astrophysics from the University of Sao Paulo (Brazil), earned at age 25, and built a 15-year academic research career studying massive stars, supernovae, and black holes. He served as Professor of Astrophysics at Trinity College Dublin (until 2022), as Senior Researcher at the University of Geneva under an Ambizione award, and as a researcher at the Max Planck Institute in Germany. During his academic career he published over 170 peer-reviewed papers and delivered more than 40 keynote presentations at international conferences. After leaving academia he has been based in Leiden, Netherlands, and has been developing skills in machine learning and AI, including mechanistic interpretability, as part of his transition toward AI safety research.

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Remco Zwetsloot is the Co‑Founder and Co‑Executive Director of the Horizon Institute for Public Service. Previously, he was a Trustee Fellow at the Center for Strategic and International Studies, where he remains a non‑resident Adjunct Fellow, and a founding Research Fellow at Georgetown’s Center for Security and Emerging Technology, leading work on the U.S. AI and semiconductor workforce. His research on the emerging technology workforce, STEM immigration, research security, and U.S.–China technology competition has appeared in outlets such as the Wall Street Journal, the Washington Post, and Foreign Affairs, and has been cited in high‑level policy reports. Remco holds master’s degrees from Yale University and the University of Oxford and a bachelor’s degree from University College Roosevelt.

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Law professor at Touro Universitys Jacob D. Fuchsberg Law Center whose teaching and research focus on torts, climate change law and policy, and law & artificial intelligence. His work on using tort law to mitigate catastrophic risks from advanced AI systems, including the paper "Tort Law as a Tool for Mitigating Catastrophic Risk from Artificial Intelligence," has attracted substantial media and legislative interest and an Open Philanthropy grant to support future AI governance scholarship.

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Policy Lead and Senior Counsel at the Center for AI Safety Action Fund; previously Senior Advisor to the U.S. Deputy Secretary of Commerce, a law clerk for two federal judges, and a private-sector litigator; graduate of Yale Law School, Oxford University, and Williams College, where he was a Truman and Rhodes Scholar.

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Antonio Franca (full name Antonio Franca Ibáñez) is a PhD student at AITHYRA, the Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences in Vienna, Austria, where he is advised by Alexander Tong under Michael Bronstein's leadership. He holds an MPhil in Machine Learning (with Distinction) from Cambridge and a BSc in Mathematics (Cum Laude) from VU Amsterdam. His research focuses on geometric deep learning, flow-based generative models, and dynamics-informed molecular design, including work on RNA inverse folding and accelerating molecular sampling with generative models. He participated in the ML Safety Scholars (MLSS) program, where his project was a distillation of Joe Carlsmith's report "Is Power-Seeking AI an Existential Risk?", which was subsequently published on the EA Forum and LessWrong. He previously served as a teaching assistant at VU Amsterdam in courses including calculus, probability theory, and linear algebra.

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Carlos Guestrin is co-founder and Chief Scientist at Virtue AI and a Professor of Computer Science at Stanford University, previously founding machine learning startup Turi and serving as Director of Machine Learning at Apple after its acquisition.

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Professor of Computer Science at Deakin University in Geelong, Deputy Head of the School of Information Technology and leader of the Machine Intelligence Lab, co-founder/co-leader of ARAAC, and a leading researcher on human-aligned autonomous agents through safe, ethical, explainable and interactive methods using multi-objective reinforcement learning.

Independent researcher working on interpretability for large language models and a Research Engineer at EquiStamp working with Redwood Research; he also facilitates AGI Strategy courses for BlueDot Impact and organizes AI Salon Berlin.

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