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