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Team Shard is a small alignment research collective led by Alex Turner (TurnTrout) that studies how reinforcement learning induces values in trained agents, with the goal of learning to reliably instill human-compatible values in AI systems.

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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Wesley Fenza is a family attorney and mediator based in Collingswood, New Jersey, where he operates Fenza Legal Services, a family law practice serving South Jersey and the Philadelphia area since 2015. He earned his J.D. from Temple University's Beasley School of Law, where he served on the Temple Law Review and the Moot Court Honor Society, and holds an undergraduate degree in Business Administration. Outside his legal practice, Fenza is an active organizer in the Philadelphia rationalist and ACX (Astral Codex Ten) community, hosting regular meetups at the Philadelphia Ethical Society and receiving a $5,000 ACX grant to fund one year of meetup operations. He hosts The Mind Killer, a podcast applying rationalist thinking to politics and current events, co-hosted with Eneasz Brodski and David Spearman, and writes Living Within Reason, a Substack newsletter covering rationality, nonmonogamy, and related topics.

Israel's oldest and largest research university, founded in 1912, with particular strength in computer science, engineering, and AI research. It ranks first in Europe and 21st globally for AI research output.

Gopal Sarma is a researcher in critical and emerging technologies at RAND, where he focuses on technical foundations for governing advanced AI systems, cybersecurity and biosecurity countermeasures, and the convergence of life sciences and artificial intelligence. He holds an AB in mathematics from Harvard University, a PhD in applied physics from Stanford University, and an MD from Emory University School of Medicine. He previously served as Assistant Director for Artificial Intelligence and Biosecurity at the White House Office of Science and Technology Policy, where he led policy development at the intersection of AI and national security, and before that as a Program Manager at DARPA's Biological Technologies Office overseeing research in bioelectronics, human performance, and biosecurity. Earlier in his career he was a full-time scientific advisor on the leadership team of the Models, Inference, and Algorithms Initiative at the Broad Institute of MIT and Harvard, and also worked as a software engineer at Wolfram Research and as a Senior Contributor to the OpenWorm Foundation. His connection to AI safety work includes organizing the Formal Methods for the Informal Engineer (FMIE) workshop at the Broad Institute in 2021, supported by a grant from the Long-Term Future Fund, which explored formal verification and verified software techniques as tools for safety-critical software in biomedicine and AI.

Collider is a coworking and community space in New York City for AI safety and other high-impact professionals to work, collaborate, and convene.

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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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The Power Law is a Substack newsletter by Peter Wildeford (also known as Peter Hurford) covering AI forecasting, AI policy, national security, and emerging technology.

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Stanford HAI is an interdisciplinary university institute advancing AI research, education, and policy with a focus on AI that benefits humanity and augments human capabilities. It is best known for publishing the annual AI Index Report.

Director Partnerships & Philanthropy USA for ETH Zurich Foundation USA, serving as the primary contact for U.S.-based donors and partners.

Serial tech entrepreneur and Founding Partner at Fifty Years. She previously founded the software company Applicake, co-founded Base (later acquired by Zendesk), organized large developer events in Europe, became a partner at VC fund Innovation Nest, and is a Y Combinator alum who moved to the U.S. in 2014.

SPAR is a part-time, remote research fellowship that pairs aspiring AI safety and policy researchers with experienced mentors for 3-month research projects. It is one of the largest AI safety research fellowships by participant count.

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Leadership coach and Program Manager for RAISEimpact, supporting people tackling pressing global challenges. Previously led software development teams at major tech companies including Amazon and Bloomberg for over a decade, and now coaches Effective Altruist managers and founders on leadership, people management, and building high-performing teams.

Zenna Tavares is a co-founder and director of Basis Research Institute, where he leads work on universal reasoning systems and causal probabilistic programming. His research focuses on how humans derive knowledge from observing and interacting with the world, and on building computational and statistical tools for causal reasoning, probabilistic programming, and scientific model discovery. He previously served as the inaugural Alan Kanzer Innovation Scholar at Columbia University’s Zuckerman Institute and Data Science Institute, completed a postdoctoral fellowship at MIT CSAIL in Joshua Tenenbaum’s group, and holds a PhD in Cognitive Science and Statistics from MIT.

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Timur Burkhanov is a Research Assistant at the Odyssean Institute with a background in cybersecurity and an interest in complex civilisational problems and conflict dynamics, particularly in the MENA and Eurasia regions. He holds an MSc in cybersecurity from Ufa State Aviation Technical University and has applied machine-learning and data-science techniques to social-impact projects, including Omdena initiatives on psychometric assessment of soft skills from meeting recordings and a chatbot to support interview preparation.

Jasper Jackson is managing editor at Transformer, overseeing day-to-day operations and editing work from staff and freelance contributors. He was previously tech editor at the Bureau of Investigative Journalism, digital editor at the New Statesman and assistant media editor at The Guardian.

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Lucid Computing builds hardware-rooted AI verification infrastructure that cryptographically proves where AI chips are located and what they are processing, enabling enforceable compute governance and regulatory compliance.

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Aleksandar (Alex) Makelov is a researcher at OpenAI working on mechanistic interpretability of large language models. He earned his PhD in Computer Science from MIT, where he was advised by Prof. Aleksander Madry, and prior to that completed Part III of the Mathematical Tripos at Cambridge University and a BA in mathematics and computer science from Harvard College. His research spans mechanistic interpretability, sparse autoencoders, adversarial robustness, and data poisoning, with papers published at ICLR 2024, ICLR 2025, and ICML 2024. He is known for work on interpretability illusions in subspace activation patching and for developing principled evaluation frameworks for sparse autoencoders. He is a SERI MATS alumnus who worked with Neel Nanda on interpretability research, subsequently joined Guide Labs, and then joined OpenAI where he co-authored work on persona features and emergent misalignment.

MIT is a private research university in Cambridge, Massachusetts, widely recognized as a global leader in science, engineering, and technology research, including AI safety and alignment.

Joe Wheeler is a Partnerships Associate for Global Catastrophic Risks at Coefficient Giving. He previously started Dropbox's Social Impact team and worked with leadership to launch the Dropbox Foundation, later leading partnerships for the UN Development Programme and WhatsApp's civic engagement program in North America. He holds an MPA in Social Impact from the London School of Economics and a BA in Politics from Whitman College.

Luise Woehlke is an AI policy researcher and programs associate at the Institute for AI Policy and Strategy (IAPS), where she works on the IAPS AI Policy Fellowship and expanding the organization's programs portfolio. She holds a Bachelor's degree in Computer Science from the University of Edinburgh. Prior to IAPS, she worked in recruitment and operations at the Centre for the Governance of AI (GovAI). Her research has focused on US AI securitization, the US regulatory process for frontier AI, and the potential for government control over AGI development. As a 2024 Pivotal Research Fellow, she co-authored a study on how involved the US government may become in developing AGI, examining historical base rates. She also received a Long-Term Future Fund grant to conduct a supervised research project on US regulatory decision-making and frontier AI, working with John Halstead, PhD.

Arati Prabhakar is an engineer and public official who served as Director of the White House Office of Science and Technology Policy and President Biden’s chief science advisor from 2022 to 2025, and earlier led the National Institute of Standards and Technology.

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Jakob Graabak is the Interim Director of the Effective Institutions Project’s Peace and Security Program, where he is building a new program focused on great-power diplomacy and emerging-technology escalation risks. He previously led the technology foresight program at the Brussels-based Centre for Future Generations, co-founded the Norwegian Center for Long-Term Policy, worked as a project lead at SecureBio, and was a fellow at the McKinsey Global Institute.