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Kate McCallum is an award-winning Los Angeles-based producer, writer, and transmedia consultant who founded and serves as executive director of c3: Center for Conscious Creativity. With over 40 years of experience in the creative industries, she works at the intersection of storytelling, immersive media, and future trends in arts and entertainment and chairs the Global Arts & Media Node of The Millennium Project.

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Lawrence Phillips is the co-founder and CTO of FutureSearch. He holds a PhD in Atomic and Molecular Physics from Heriot-Watt University and an MSc from Imperial College London, and previously led the AI team at Metaculus and held machine learning roles at Cambridge Consultants, GTN, Jawbone Health, and GSK.

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Robert M. Gates is a principal at Rice, Hadley, Gates & Manuel LLC and formerly served as the 22nd U.S. Secretary of Defense from 2006 to 2011, the only defense secretary asked to remain in office by presidents from both parties. A career national security official, he previously served as Director of Central Intelligence and held senior roles on the National Security Council staff, and he now also serves as Chancellor of William & Mary.

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Executive Director of the AI Governance and Safety Institute, working on educational materials and advertising campaigns that communicate existential risk from advanced AI to specific audiences. His public bio notes experience in machine learning, political campaigning, and having founded a startup that donated over $100,000 to effective nonprofits, as well as running large-scale outreach projects such as distributing Russian-language editions of HPMOR.

Cornelia Kutterer, LL.M., is a Senior Policy Fellow at SaferAI, where she advises the team on institutional engagement and AI governance research. She is Co-Founder and Chief Legal Officer of Scrydon, an agentic AI startup, and previously spent many years at Microsoft leading European government affairs on responsible technology, rule of law, and competition policy. She also holds part-time roles as Adjunct Professor at UC Law San Francisco and Senior Research Fellow at the Multidisciplinary Institute in AI at the University of Grenoble, focusing on AI governance and regulation.

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Santeri Tani is a Finnish AI safety field builder currently serving as Research Community Manager at the Center on Long-Term Risk (CLR), a London-based research organization focused on reducing s-risks from advanced AI. He studied Computer Science at the University of Helsinki and has a background spanning robotics, machine vision, health tech, and the nonprofit sector. Previously, he was the Operative Director of the Finnish Center for Safe AI (TUTKE), an organization he helped establish to advance AI safety work in Finland. He also served as co-director of Effective Altruism Finland. He has been involved in organizing technical AI safety programs including the Finnish Alignment Engineering Bootcamp, and is advancing forecasting and preparedness capabilities through the RAND Forecasting Initiative. TUTKE received Long-Term Future Fund grant funding for field-building activities in Finland.

Tristan Williams is an AI policy researcher and effective altruist based in Spain. He was a Research Fellow at the Center for AI Policy (CAIP), where he focused on societal risks posed by AI and identifying policy solutions, before CAIP ceased operations in 2025. Prior to CAIP, he worked as a research assistant at the Center for AI Safety and at Conjecture, operating at the intersection of AI governance research and advocacy. He is an M.A. Candidate in Security Studies at Georgetown University with a focus on AI policy and governance. He is an active member of the EA Spain community, involved in reviving the EA Madrid group, and has spoken on AI governance at events including AI Safety Barcelona. He has published reports on AI and education, privacy, cybersecurity, and the impacts of AI on creative industries, and authored a post on the EA Forum documenting the closure of CAIP.

Sahil Kulshrestha is an independent AI alignment researcher and founder of Groundless Alignment (groundless.ai), where he develops what he calls "Live Theory" — a framework for understanding risks and opportunities from moderately capable AI systems deployed at scale as infrastructural technology. His core research agenda critiques the dominant "agentic" frame for AI and argues instead for a co-agentic vision in which AI functions as attentive infrastructure rather than autonomous agents. He received a Long-Term Future Fund grant for the development of a mathematical language for highly adaptive entities with stable commitments rather than stable mechanisms. He contributed to the PIBBSS fellowship 2022 (suggesting and facilitating its deep reading group format) and provided curriculum inputs for the "Key Phenomena in AI Risk" facilitated reading group alongside researchers from FHI, PIBBSS, and MIRI. He has engaged with researchers including Scott Garrabrant and received a $100,000 personal donation from Richard Ngo in 2025 to support his live theory work, with Ngo describing him as having one of the most ambitious and philosophically coherent overall visions for the future of AI among researchers he had consulted.

Aalok Mehta is director of the Wadhwani AI Center at the Center for Strategic and International Studies in Washington, DC, where he oversees projects and research on a wide range of AI policy topics, including governance, national security, economic competitiveness, and global AI strategy. Before joining CSIS in 2025, he was Responsible AI Policy Lead at Google, previously led U.S. public policy at OpenAI during the launches of DALL·E 2 and ChatGPT, served as a senior advisor at AI policy nonprofit SeedAI, and held senior technology policy roles at the White House, the Office of Management and Budget, the Federal Communications Commission, and on Capitol Hill.

Researcher at the AI Futures Project specialising in forecasting AI chip production and usage. He graduated cum laude from Harvard University with a concurrent master’s in computer science focused on security and hardware, and previously served as an AI Policy Fellow at the Institute for AI Policy and Strategy.

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Rebecca Gorman is co-founder, Chief Technologist and CEO of Aligned AI, and an expert in near-term AI threats focused on the interface between technology and human behaviour and the tension between AI systems and human preferences. She has co-developed core alignment IP for Aligned AI, including ACE, EquitAI and ClassifAI, and has been recognised in RE•Work’s Top 100 Women Advancing AI in 2023.

Samuel Marks is a Member of Technical Staff at Anthropic, where he leads the Cognitive Oversight team within the alignment science team. His team works on overseeing AI systems by examining the cognitive processes underlying their behavior rather than relying solely on input/output observation, with a particular focus on detecting deception in language models using both interpretability-based (white-box) and behavioral interrogation (black-box) techniques. He holds a PhD in mathematics from Harvard University (2023), where he studied p-adic Hodge theory under Mark Kisin, and subsequently completed a postdoctoral fellowship at Northeastern University under David Bau working on mechanistic interpretability of large language models. He was a scholar in the MATS Summer 2022 program, one of the program's first full-scale cohorts. His notable research includes co-authoring the influential "Alignment Faking in Large Language Models" paper with Redwood Research and work on sparse feature circuits for explaining language model behavior. He received an early grant to spend three weeks with collaborators reviewing AI alignment research agendas.

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Computer scientist and AI researcher serving as George Mason University’s inaugural vice president and chief artificial intelligence officer, professor of computer science, and associate dean for AI innovation in the College of Engineering and Computing. Shehu leads institutional AI strategy and deployment at Mason, directs several AI-focused research centers and an active AI research lab, and previously served as a program director at the U.S. National Science Foundation.

Richard Mathenge is co-founder and chief operating officer of Techworker Community Africa and a leader of the African Content Moderators Union, advocating for the rights and working conditions of data and content moderation workers in the AI supply chain. His organizing on behalf of Kenyan content moderators, including those who worked for Sama on OpenAI projects, led to his recognition on TIME’s list of the 100 most influential people in AI.

Benjamin Prud’homme is Vice‑President of Policy, Safety and Global Affairs at Mila – Quebec Artificial Intelligence Institute, where he leads work on AI governance and public policy, learning and literacy, and ethical and responsible AI, including Mila’s AI for Humanity portfolio of applied projects.

Charlie Pownall is a communications and reputation management specialist and the founder and managing editor of AIAAIC, a project that tracks AI-, algorithmic- and automation-related harms. With a background as a journalist, EU official and corporate communications adviser, he now focuses on the transparency, accountability and governance of AI and other emerging technologies, and regularly writes and speaks on AI risk and online reputation.

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Anton Leicht is an affiliate in international AI policy with the KIRA Center and a visiting scholar in the Technology and International Affairs program at the Carnegie Endowment for International Peace. He researches the political economy and geopolitics of advanced AI, writes the Substack newsletter "Threading the Needle," and previously worked in economic and technology policy roles in German and EU politics.

Research analyst at AI Standards Lab with an MSc in Computer Science from TU Berlin and a background in software engineering, data analysis, forecasting research, and agent foundations, whose current research interests include loss-of-control risks from AI and who co-authored the Lab’s risk-sources and risk-management measures paper for general-purpose AI systems.

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Turquoise Sound is a writer and strategist focusing on innovation, cultural evolution, and artificial intelligence, with work spanning organizational behavior, leadership, and AI‑driven cultural risk. They publish the Turquoise Sound Substack, which explores cultural evolution and full‑stack alignment in the age of AI.

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Aviv Ovadya is a technologist and researcher focused on the societal risks and opportunities of AI, working at the intersection of AI, platforms, democracy, and deliberation. He is the founder and CEO of the AI & Democracy Foundation and is also affiliated with Harvard’s Berkman Klein Center, the Centre for the Governance of AI, and the newDemocracy Foundation.

Erik Torenberg is a technology entrepreneur and investor based in San Francisco, California. He is a general partner at Andreessen Horowitz, where he focuses on media and networks. Previously, Erik founded the Turpentine podcast network, was founder and chairman of On Deck, co-founded the venture firm Village Global, and was the first employee at Product Hunt.

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Mikhail Asavkin is the founder and CEO of ANT61, an Australian space robotics company developing satellite life‑extension technologies, and serves as Product Manager at the Beneficial AI Foundation for Signal Shot. He previously worked in mission control and on the GLONASS constellation at Roscosmos and has led engineering and product teams for large infrastructure and space technology projects in Europe and Australia.

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Professor of Information Technology at Federation University Australia in Ballarat and co-founder/co-leader of the Australian Responsible Autonomous Agents Collective (ARAAC), recognised for pioneering work on multi-objective reinforcement learning and its application to human-aligned, safe autonomous AI systems, and a senior member of the Future of Life Institute’s Existential AI Safety Research Community.

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Vojtěch Kovařík (also known as Vojta Kovarik) is a Czech AI safety researcher and postdoctoral fellow at the Artificial Intelligence Center, Czech Technical University in Prague. His academic background is in mathematics, having completed a PhD at the Faculty of Mathematics and Physics (MFF) of Charles University Prague, with a focus on analysis, topology, and Banach spaces, as well as game theory with imperfect information games. He subsequently held a postdoctoral position at Carnegie Mellon University's Foundations of Cooperative AI Lab (FOCAL), collaborating with Caspar Oesterheld and Vincent Conitzer on game-theoretic approaches to AI alignment. His AI safety research focuses on systemic risks and consequentialist reasoning, including work on Goodhart's Law applied to AI (formulating "Extinction-level Goodhart's Law"), cooperative AI, AI debate frameworks, and how AI systems may reason strategically during evaluations. He has co-authored papers at IJCAI, NeurIPS, and the SafeAI@AAAI workshop, and received Long-Term Future Fund grants to support his transition to full-time AI safety research.

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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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