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Nicole Yunger Halpern
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Project coordinator at Riesgos Catastroficos Globales
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Alex Cloud is a researcher at Anthropic whose work focuses on interpretability and agent foundations. His research includes methods such as gradient routing to localize learning updates and distillation-based approaches to robust unlearning, and he previously conducted applied reinforcement learning research at Riot Games AI and Amazon before completing a PhD in statistics at North Carolina State University.
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Chief of Staff at Atlas Computing and an AGI preparedness field-builder who has founded and scaled AI safety communities and research groups across multiple regions, working to build the global ecosystem needed to keep advanced AI safe and aligned.
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Henry Papadatos is Executive Director of SaferAI, where he works on key aspects of the organisation’s work ranging from risk-management ratings and AI benchmark research to risk management and internal operations. He is a technical AI risk management expert focused on closing the gap between rapid AI advancement and society’s ability to manage associated risks, and previously conducted research on large-language-model alignment at the Center for Human-Compatible AI at UC Berkeley. In his role at SaferAI he develops AI governance strategies and technical solutions for managing risks from frontier AI systems.
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Researcher in developmental robotics and interactive reinforcement learning who obtained bachelor’s and master’s degrees from the University of Santiago, Chile, and a PhD from the University of Hamburg, and who collaborates with ARAAC, including through a lab at UNSW.
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Founder of Constraint Dynamics, building Golem: a geometric knowledge system for verification-before-voice AI.
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Executive Director of the Berkeley Existential Risk Initiative (BERI). She joined BERI in February 2023 to support operations and grow new collaborations, moved into the executive director role in November 2024, previously worked as a Chief of Staff at tech startups including Corvid Technologies, and holds a B.A. in Economics and Peace, War, and Defense from the University of North Carolina.
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Co-founder and Partnerships Lead at Impact Academy, with experience establishing teams that design and deliver high-quality educational programs such as Future Academy v2 (India edition), and working as an executive coach for entrepreneurs and other impact-driven individuals.
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Güven Sak is a Turkish economist who founded and leads the Economic Policy Research Foundation of Turkey (TEPAV) and is a professor of public economics at TOBB University of Economics and Technology, while also serving as a councillor with CIGI’s World Refugee Council.
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I’m an economist and policy researcher focused on improving the long run future via interventions that condition on very powerful AI systems arriving this century.
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Tegan McCaslin is a generalist researcher working at the intersection of AI forecasting, AI strategy, and AI governance. She began her research career at AI Impacts in 2018, where she studied neuroscience topics relevant to AI timelines, including brain architecture and neuron counts across species. She received multiple Long-Term Future Fund grants (2019, and subsequently) to pursue independent research into AI forecasting and strategy questions, exploring topics such as whether AI capability development parallels biological evolution and the tractability of long-term forecasting. She went on to join the Forecasting Research Institute (FRI) as a core founding team member alongside Phil Tetlock, focusing on improving the quality and decision-relevance of forecasting questions and the challenges of forecasting on long timescales. She co-authored FRI's report on Conditional Trees as a method for generating informative AI risk forecasting questions, and served as a mentor for the Epoch and FRI mentorship program for women and non-binary people interested in AI forecasting. More recently, she has expanded into AI governance work, contributing to the STREAM (ChemBio) framework at the Centre for the Governance of AI (GovAI), a standard for transparently reporting AI model evaluations of chemical and biological capabilities.
Assistant Professor of Law at the University of Houston whose research investigates how law and legal institutions can reduce catastrophic and existential risks from advanced AI systems; he also serves as executive co-director of the Center for Law & AI Risk, law and policy advisor to the Center for AI Safety, visiting senior fellow at the Institute for Law & AI, senior visiting scholar at Forethought, and contributing editor at Lawfare.
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Physics student, EA Austria Community Builder (10h/week)
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Director Partnerships & Philanthropy USA for ETH Zurich Foundation USA, serving as the primary contact for U.S.-based donors and partners.