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Dr. Merve Ayyüce Kızrak is an AI specialist with over 15 years of experience in artificial intelligence, specialising in computer vision, AI governance, and AI safety. She holds a PhD in Electronics and Communication Engineering from Yıldız Technical University and a master’s in Economics and FinTech from Bahçeşehir University, and works as an AI Specialist in the Presidency of Türkiye’s Digital Transformation Office, where she leads data‑governance projects and contributes to the national AI strategy.

Zohreh Shams is a research manager at MATS London and an affiliated lecturer at the University of Cambridge whose research focuses on interpretability and its applications to knowledge discovery. The MATS London profile notes that she previously served as CSO at Leap Laboratories, a spin-out of MATS, where she led research.

Boston Nyer is a co‑founder and fractional COO of Juniper Ventures and an operator focused on AI and global health, with prior leadership roles at FAR.AI, GiveWell, Equalize Health, Momentum and clean‑cookstove company BURN Manufacturing.

Development Director at Sinergia Animal, where I get to use my international business expertise with a deep commitment and love to animals.

David Williams-King is an AI safety researcher and communicator based in Montreal, Canada. He holds a PhD in Computer Science (Systems & Security) from Columbia University (2014-2020), where his research focused on binary security and code randomization. After graduating, he co-founded and served as CTO of Elpha Secure, a cybersecurity insurance startup, leading a team of 15-20 engineers. He transitioned into AI safety work and currently conducts research at Mila (Quebec AI Institute) as part of Yoshua Bengio's Safe AI for Humanity initiative, and serves as a Research Manager for Technical AI Safety at ERA Cambridge (ERA Fellowship). He also works with LawZero, an AI safety organization. His research examines LLM safety, jailbreaks, and guardrails, drawing lessons from cybersecurity history, and he has co-authored papers including "Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity" and "Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?" with Yoshua Bengio and others. He also runs a YouTube channel with over 30,000 subscribers focused on AI safety and how AI will impact society, and received an LTFF grant to support this work.

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Roman Leventov is an independent researcher, blogger, and philosopher focused on intelligence and agency, with particular emphasis on Active Inference, AI alignment, ethics, and collective decision-making systems. He holds a technical background in software engineering from Bauman Moscow State Technical University in Moscow and has contributed to high-performance open-source systems including Apache Druid. He has worked as a software engineer at companies including Metamarkets and Pocketdata.AI, and runs the "Engineering Ideas" Substack covering systems engineering, AI, and philosophy of agency. His AI safety research examines goal misgeneralisation through the lens of Active Inference and the development of collective sense-making architectures. He is a founding member of the Gaia Consortium, a project aimed at building a global decentralized system for collective decision-making and civilisational intelligence. He received a grant from the Long-Term Future Fund to support six months of independent research on goal misgeneralisation from an Active Inference perspective and collective decision-making systems.

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Part-time Program Manager at the Berkeley Existential Risk Initiative since July 2025, overseeing new program development. He is a consultant, program manager, and community builder with a background in workforce and economic development, and a trained engineer who has worked in the aerospace and manufacturing industry.

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Nikos Bosse is a research engineer at FutureSearch. He holds a PhD in Statistics from the London School of Hygiene and Tropical Medicine and an MD from the University of Göttingen, and previously worked on research strategy at Metaculus while completing his medical and doctoral training in infectious disease forecasting and forecast evaluation.

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Yordanos Asmare is the Head of People at FAR.AI, where she leads and manages people operations, including recruitment, culture, and employee experience. She has deep experience building and scaling organizations, running operations, and developing communities and partnerships, and she specializes in creating high‑performance, inclusive, and impactful teams and cultures. Yordanos holds a BA in English Literature with a focus in Sociology of Education from Stanford University.

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Zach Graves is president and CEO of the Foundation for American Innovation and an ex officio member of its board. Previously head of policy at FAI, he has led work at the intersection of technology and governance, after earlier roles directing technology and innovation policy at the R Street Institute and working at the Cato Institute and America’s Future Foundation.

David Chanin is a PhD student in the UCL Centre for Doctoral Training in Foundational AI, where he studies mechanistic interpretability and knowledge representation in large language models. He is a researcher at Decode Research and a maintainer of the SAELens library, contributing to open-source tooling for training sparse autoencoders and analyzing neural network internals.

Research scientist in the Algorithmic Alignment Group at MIT CSAIL working with Prof. Dylan Hadfield-Menell, broadly interested in ensuring that algorithms and systems behave correctly, safely, and in line with their intended real-world purpose.

Rohinton P. Medhora is a CIGI distinguished fellow and professor of practice at McGill University’s Institute for the Study of International Development; he served as CIGI’s president from 2012 to 2022 and previously was vice president of programs at Canada’s International Development Research Centre, with expertise in international economic relations, innovation policy and development economics.

Seán Ó hÉigeartaigh is Director of the AI: Futures and Responsibility Programme at the University of Cambridge, a joint programme between the Centre for the Study of Existential Risk and the Centre for the Future of Intelligence. His work focuses on foresight and governance of frontier and general-purpose AI, including the geopolitical implications of advanced AI, and he has previously served as founding Executive Director of the Centre for the Study of Existential Risk and helped establish the Leverhulme Centre for the Future of Intelligence.

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Founding director of the Institute for Law & AI and Assistant Professor of Law and AI at the University of Cambridge. His research focuses on the law and policy of general‑purpose and advanced AI systems, and he has served as a legal advisor to the EU GPAI Code of Practice.

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Project Specialist at Impact Academy who graduated with an integrated Master’s in Development Studies from the Indian Institute of Technology (IIT) Madras, previously worked as a public policy researcher at the Mercatus Center at George Mason University, and has written on development issues for several publications.

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Nathan Sherburn is a software engineer and entrepreneur who leads Good Ancestors’ technical research projects, including its Legal Zero-Days work, drawing on experience building AI-assisted products and tools.

Katja Grace is a researcher focused on understanding the future impacts of artificial intelligence. She co-founded AI Impacts, a long-running project examining empirical and conceptual questions relevant to AI forecasting and decision-making, and leads its research on technological trajectories, expert prediction, model scaling and related topics.

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Arthur Grimonpont is Head of Advocacy at CeSIA, where he represents the organisation in parliamentary hearings and public debates on systemic AI risks. He is also an essayist and advisor on AI at Reporters Without Borders (RSF) and author of the book “Algocratie”, which examines how artificial intelligence shapes the information ecosystem.

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I'm an independent AI researcher and systems architect based in Querétaro, Mexico. I've been building and deploying AI systems since 2024, working across full-stack architecture, applied ML, and behavioral analysis.

Promoting pandemic preparedness, with special focus on influenza

sailing the cyberspace

Lewis Hammond is a DPhil candidate in computer science at the University of Oxford and Research Director at the Cooperative AI Foundation. His doctoral research, supervised by Alessandro Abate, Julian Gutierrez, and Michael Wooldridge, focuses on safety and cooperation in multi-agent systems, motivated by the goal of ensuring AI and other powerful technologies are developed and governed safely and democratically. He holds a BSc in mathematics and philosophy from the University of Warwick and an MSc in artificial intelligence from the University of Edinburgh. His key research areas span game theory, formal methods, machine learning, cooperative AI, causal reasoning in games, and scalable oversight; notably, his ICLR 2025 paper on neural interactive proofs introduces a framework for how a computationally bounded verifier can learn to interact with powerful but untrusted provers to solve tasks, directly addressing the scalable oversight problem. He is also affiliated with the Centre for the Governance of AI, is a Pathways to AI Policy Fellow at the Wilson Center, and was previously a DPhil Affiliate at the Future of Humanity Institute. His scalable oversight experiments received funding from the Long-Term Future Fund and OpenAI.

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