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.

CARMA is a research and policy think tank working to lower the risks to humanity and the biosphere from transformative AI through integrated risk management, policy research, and technical safety work.

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.

Lightspeed Grants is a fast-turnaround grantmaking program run by Lightcone Infrastructure that in 2023 provided rapid funding for projects aimed at reducing existential risk and improving humanity's long-term future, but has since been inactive and is not currently accepting applications.

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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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A pooled multi-donor charitable fund that rapidly deploys grants to reduce catastrophic risks from advanced AI, covering technical alignment, governance, and evaluations.

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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.

Bounded Regret is the personal research blog of Jacob Steinhardt, Associate Professor at UC Berkeley, covering AI safety, machine learning, forecasting, and philosophy.

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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.

President of Mozilla Foundation and longtime open internet activist focused on trustworthy AI, digital privacy, and the open web; previously led organizations such as the Commons Group and telecentre.org and now helps steer Mozilla’s investments in responsible tech startups and foundational open-source AI.

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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.

A global participatory futures research think tank that produces the annual State of the Future report and tracks 15 Global Challenges facing humanity, with growing focus on AGI governance and existential risk.

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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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