Artificial intelligence (AI) is reshaping the way public governance operates. As Triangular Cooperation becomes an increasingly important form of South-South Cooperation, the question of how digital tools can be used to improve the implementation efficiency of cooperation projects, enhance the traceability of funds, and safeguard the governance sovereignty of recipient countries has emerged as a topic well worth exploring.

On the morning of May 21, Dr. Antonio Postigo, Visiting Scholar at the Center for Global AI Innovative Governance (CGAIG) and Fudan Development Institute (FDDI), Senior Fellow at the Barcelona Institute for International Studies (IBEI), and Visiting Research Fellow at the United Nations University Institute on Comparative Regional Integration Studies (UNU-CRIS), held an in-depth conversation with Dr. Xin Yanyan, Deputy Secretary-General of CGAIG and Assistant Professor at FDDI.The intervi

The rapid development of artificial intelligence (AI) is profoundly reshaping the global industrial landscape, international economic and trade rules, and governance systems. As global AI governance becomes increasingly fragmented, regionalized, and multipolar, identifying more inclusive and actionable governance pathways within existing international institutional frameworks has become an important issue of shared concern for the international community.On the afternoon of May 11, 2026, Dr. Ant

LU Chuanying, Vice Dean of the School of Political Science International Relations, Tongji University. Current discussions surrounding Artificial General Intelligence (AGI) present several issues. For instance, AGI definitions are predominantly driven by industry and technical communities rather than grounded in academic consensus, and timelines for achieving AGI are generally overly optimistic.

Yoo Chandong, Professor, School of Electrical Engineering, KAIST. AI is transitioning from a passive inference tool to an active autonomous agent, exacerbating the “intelligence divide” between the Global North and South. The Global North, with only 25% of the worlds population, controls 80% of global income and monopolizes GPU compute clusters and top-tier AI researchers.

XIAO Qian, Deputy Director, Center for International Security and Strategy, Tsinghua University. AI risks are global and systemic in nature, particularly manifest in three domains: cybersecurity, biosecurity, and the misuse of AI by non-state actors. Yet current global AI governance has fallen into a geopolitical competition mindset, with collaborative dialogue being supplanted by struggles for dominance. Framing AI as a race is strategically counterproductive.

Karson Elmgren, Senior Researcher, Institute for AI Policy and Strategy (IAPS). Current frontier AI systems are massive in scale and increasingly autonomous, making traditional human monitoring inadequate to address the governance challenges posed by massive token generation and agentic autonomous actions. In response, a strategy of “using AI to govern AI” may be explored.

Maximilian Mayer, Professor of International Relations and Global Politics of Technology with University of Bonn. From the perspective of constitutionalism, AI governance is not merely a technical issue but a compound challenge spanning law, society, and technology.