International Governance of AI

This comprehensive analysis provides a nuanced examination of AI governance challenges, emphasizing the need for multi-layered, adaptive governance strategies. The authors argue that traditional governance models are insufficient for managing transformative AI, given its unprecedented combination of dual-use properties, ease of proliferation, and potential destructive capabilities. The research systematically evaluates governance options across different stages (development, proliferation, deployment) and actor levels (subnational, national, international). Key insights include identifying potential 'chokepoints' in AI infrastructure, recognizing the limitations of current subnational governance approaches, and proposing potential international governance frameworks like non-proliferation regimes or international monopolies. The analysis is particularly valuable for its sophisticated understanding of technological governance dynamics, emphasizing the complex interplay between technological innovation, economic incentives, and geopolitical strategic considerations.