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Nathan Heath is a decision scientist and AI safety researcher with 14 years of experience in geopolitics and emerging technology. He founded Syntony, where he leads AI evaluation, governance, risk advisory, and software work. Previously, as a Senior Research Scientist at National Security Innovations, he worked on emerging technology risk, AI integration, and security cooperation for U.S. government clients.

He red-teams frontier AI systems for OpenAI and Anthropic and serves as an Expert Advisor to the Cloud Security Alliance. He is a Security Fellow with the Truman National Security Project, a member of MIT AI Alignment, and a contributing researcher with the Oxford Martin AI Governance Initiative. His research examines system dynamics and frontier AI risk, the protection of testimony archives from synthetic media, and defense industrial cooperation in Europe.

Nathan holds an M.A. in Law and Diplomacy from The Fletcher School at Tufts University. He also studied Politics, Philosophy, and Economics at Oxford, and diplomatic and business strategy at Harvard. His work has been presented at UNIDIR, the International Association for Safe and Ethical AI at UNESCO House, the Cambridge Centre for Geopolitics, the Minderoo Centre for Technology & Democracy, the American University of Paris, the International Institute for Justice, and the UK Ministry of Defence’s Deterrence and Assurance Academic Alliance. It has appeared in War on the Rocks, RAND Europe, World Politics Review, PRISM, and The Washington Post.

He leads the North Carolina chapter of the OpenAI Forum and contributes research to the Meta Oversight Board and the EvalEval Coalition.

Wm. Matthew (Matt) Kennedy is an AI+ Senior Research Fellow at King’s College London and a former Marie Skłodowska-Curie Postdoctoral Fellow at the Oxford Internet Institute. His research examines AI ethics, safety, and political economy, with particular interests in evaluation and red-teaming, AI and knowledge production, education, epistemic harms, and decolonial AI.

He is affiliated with the University of Sydney Centre for AI, Trust, and Governance; the Machine Learning & Society team at Women at the Table; the AI and Education at Oxford University research hub; and the Center for AI and Digital Policy. He regularly contributes to Humane Intelligence events and is an inaugural ORF US-India AI Fellow.

Matt earned his PhD at the University of Sydney, studying the history of colonialism, international law, and scientific governance. He subsequently held research fellowships at the University of Texas at Austin and the University of Sussex. In the technology industry, he led a small AI evaluation team, collaborated on research in AI ethics, safety, and governance, and advised U.S. and international public officials on AI policy.

At the Oxford Internet Institute, his project examined how the colonial past can inform decisions about the design, development, use, and governance of AI systems.