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International Governance of Artificial Intelligence (AI)

January 19, 2026

Background and research questions

Global power dynamics, uneven technological capacities, and divergent regulatory approaches increasingly shape AI development. The absence of a unified international governance framework has exacerbated challenges of inclusiveness, coordination, and effectiveness. Key questions include how international AI governance architectures are evolving, how capacity gaps across countries affect governance outcomes, and how governance effectiveness can be measured.

Core research areas

Global governance architectures and capacity building

This research tracks trends in international AI governance and analyzes emerging governance architectures, with a focus on AI capacity-building as a foundation for inclusive and equitable global governance. It examines how different governance models interact with national interests, sovereignty concerns, and rule-making.

Open-source ecosystems and international standards

This research investigates the governance implications of open-source AI ecosystems and international standard-setting processes. It explores how open and collaborative development models shape technological diffusion, interoperability, transparency, and accountability across borders. The research further examines the role of standards in supporting responsible innovation, stakeholder coordination, and the sustainable development of AI systems globally.

Measurable governance and indicator systems

To address gaps between technological development and governance capacity, this research proposes the concept of measurable governance. It explores the construction of quantitative and evaluative indicators to assess governance effectiveness, reduce information asymmetries, and support evidence-based international cooperation.

Research outputs

This research has produced theoretical frameworks for understanding international AI governance and contributed to national-level and international policy research projects on global AI governance trends, capacity building, and governance effectiveness.

Projects

AI for Human Development Project

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