The 2025 World Internet Conference (WIC) Wuzhen Summit kicked off in Wuzhen in east China's Zhejiang Province on Nov 7th.

In the morning of Nov 8th, the Global Development Initiative Digital Cooperation Forum was held in the 2025 WIC event. The forum was co-hosted by Cyberspace Administration of China, and the Chinese People's Institute of Foreign Affairs, and co-organized by Internet Society of China (ISC), and Beijing University of Posts and Telecommunications. 

Mr. YU Xiaohui, Vice President and Secretary General of ISC, President of CAICT, delivered a keynote at the forum addressing the AI international cooperation.

Mr. YU pointed out that AI cooperation is the most important and challenging area in current global digital collaboration. As a transformative technology, AI will reshape the global economic and social development landscape, yet developing countries still lag behind in talent, data, and infrastructure. Regarding international AI cooperation, he put forward five recommendations:

1. Promoting open-source collaboration. Open-source models will make it easier for developing countries to access cutting-edge AI technologies and stimulate local innovation. China has long benefited from the global open-source ecosystem and now is an active contributor.

2. Building affordable infrastructure. The construction of computing power, data centers, and chips requires global coordination to help every nation establish a sustainable AI-computing foundation.

3. Developing high-quality datasets. Data is key to accelerating AI applications and iterative technological progress. We should build high-quality datasets that reflect cultural diversity and meet the needs of all countries, and promote their global co-creation and sharing.

4. Cultivating talent and capacity. Strengthen general AI education and talent training. Many countries have launched relevant programs, and China is also helping developing countries enhancing capacity building.

5. Preventing risks and building rules jointly. Through laws, policies, technical measures, and standards, we should together address AI challenges in security, ethics, and governance, and continuously improve the safety, reliability, controllability, and fairness of AI technologies.