International AI Governance
Artificial Intelligence (AI) is an emerging technology which presents unprecedented risks and opportunities. In the international security domain, rapidly advancing AI capabilities could cause catastrophic outcomes via several pathways, including misuse by malicious actors, accelerating arms races and the erosion of human control. Yet, with appropriate international coordination and safeguards, advanced AI could contribute immensely to scientific progress, crisis management and global peace.
This working group explores three key areas at the intersection of nuclear disarmament and AI governance:
- AI and international security: Studying how advanced AI affects strategic stability and the risk of nuclear conflict, for example via autonomous weapon systems, shifts in offense/defense balance, AI integration in military decision-making, or competitive dynamics in AI development. Also, how geopolitical dynamics and security concerns impact the prospect of international cooperation on AI safety and governance.
- Lessons from nuclear governance: Drawing on the history, theory and mechanisms of nuclear governance —e.g., arms control, international institutions, the logic of deterrence—to inform AI governance. This also includes methodological contributions, e.g., towards a more systematic approach to learning from analogies.
- AI in nuclear disarmament: Exploring opportunities such as leveraging advanced AI to enhance verification regimes, improve transparency and communication, and support cooperation between states. Additionally, considering the risks from the application of advanced AI in this high-stakes context.
Advisors
- Allan Dafoe: Director and Principal Scientist, Frontier Safety and Governance, Google DeepMind. Senior Advisor and Visiting Fellow, Oxford Martin AI Governance Initiative, University of Oxford. Founder and Trustee, Cooperative AI Foundation. Founder, Centre for the Governance of AI
- Robert Trager: Co-Director of the Oxford Martin AI Governance Initiative at the University of Oxford, International Governance Lead at the Centre for the Governance of AI, and Senior Research Fellow at the Blavatnik School of Government at the University of Oxford
- Vincent Boulanin: Director of the Governance of Artificial Intelligence Programme at SIPRI
Members
- Magnus Lundgren: Senior Lecturer and Associate Professor (Docent) at the Department of Political Science, Göteborg University
- Justin Canfil: Assistant Professor at the Institute for Strategy & Technology at Carnegie Mellon University (CMIST), Research Associate at Princeton.
- Giacomo Cassano: PhD student, AMC
- Amritanshu Prasad: Research Fellow, Pivotal Research
- Rafael Andersson Lipcsey: AI Governance Researcher, Avantgarde Governance Insights
Fellows
- Conrad Kunadu is a PhD Candidate in International Relations at the University of Oxford.
- Younes Kenbib is a PhD Candidate in International Relations at Mohammed V University (Morocco) and
University of Michigan - Ann Arbor (USA). - Joseph Getto is a MA candidate in International Conflict Resolution and Coexistence at the Heller School
for Social Policy and Management at Brandeis University.
Publications
2026
- Hatz, Sophia. 2026 The Nuclear Analogy in AI Governance Research. In Handbook on the Global Governance of Artificial Intelligence, edited by Magnus Lundgren and Markus Furendal, Edward Elgar Publishing.
2025
- Adrien Abecassis ... Sophia Hatz, et al. 2025. A Blueprint for Multinational Advanced AI Development. Oxford Martin AI Governance Initiative.
- Hatz, Sophia, Noemi Dreksler, Baobao Zhang, and Kevin Wei. 2025. “Local US officials’ views on the impacts and governance of AI: Evidence from 2022 and 2023 survey waves.” PLoS One 20(10): e0332919. https://doi.org/10.1371/journal.pone.0332919
Contact
- For questions about the working group's research and activities:
- Sophia Hatz
