Global consensus grows on inclusive and cooperative AI governance at IGF 2025
AI is no longer confined to tech labs—it’s becoming a global concern that demands cooperation, creativity, and a shared commitment to humanity’s future.
At the Internet Governance Forum 2025 in Lillestrøm, Norway, the ‘Building an International AI Cooperation Ecosystem’ session spotlighted the urgent need for international collaboration to manage AI’s transformative impact. Hosted by China’s Cyberspace Administration, the session featured a global roster of experts who emphasised that AI is no longer a niche or elite technology, but a powerful and widely accessible force reshaping economies, societies, and governance frameworks.
China’s Cyberspace Administration Director-General Qi Xiaoxia opened the session by stressing her country’s leadership in AI innovation, citing that over 60% of global AI patents originate from China. She proposed a cooperative agenda focused on sustainable development, managing AI risks, and building international consensus through multilateral collaboration.
Echoing her call, speakers highlighted that AI’s rapid evolution requires national regulations and coordinated global governance, ideally under the auspices of the UN.
Speakers, such as Jovan Kurbalija, executive director of Diplo, and Wolfgang Kleinwächter, emeritus professor for Internet Policy and Regulation at the University of Aarhus, warned against the pitfalls of siloed regulation and technological protectionism. Instead, they advocated for open-source standards, inclusive policymaking, and leveraging existing internet governance models to shape AI rules.
Regional case studies from Shanghai and Mexico illustrated diverse governance approaches—ranging from rights-based regulation to industrial ecosystem building—while initiatives like China Mobile’s AI+ Global Solutions showcased the role of major industry actors. A recurring theme throughout the forum was that no single stakeholder can monopolise effective AI governance.
Instead, a multistakeholder approach involving governments, civil society, academia, and the private sector is essential. Participants agreed that the goal is not just to manage risks, but to ensure AI is developed and deployed in a way that is ethical, inclusive, and beneficial to all humanity.
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