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China proposes new global AI cooperation organisation
SHANGHAI, July 26 (Reuters) - China said on Saturday it wanted to create an organisation to foster global cooperation on artificial intelligence, positioning itself as an alternative to the U.S. as the two vie for influence over the transformative technology.
China wants to help coordinate global efforts to regulate fast-evolving AI technology and share the country's advances, Premier Li Qiang told the annual World Artificial Intelligence Conference in Shanghai.
President Donald Trump's administration on Wednesday released an AI blueprint aiming to vastly expand U.S. AI exports to allies in a bid to maintain the American edge over China in the critical technology.
Li did not name the United States but appeared to refer to Washington's efforts to stymie China's advances in AI, warning that the technology risked becoming the "exclusive game" of a few countries and companies.
China wants AI to be openly shared and for all countries and companies to have equal rights to use it, Li said, adding that Beijing was willing to share its development experience and products with other countries, particularly the "Global South". The Global South refers to developing, emerging or lower-income countries, mostly in the southern hemisphere.
How to regulate AI's growing risks was another concern, Li said, adding that bottlenecks included an insufficient supply of AI chips and restrictions on talent exchange.
"Overall global AI governance is still fragmented. Countries have great differences particularly in terms of areas such as regulatory concepts, institutional rules," he said. "We should strengthen coordination to form a global AI governance framework that has broad consensus as soon as possible."
The text of the plan is here:
http://hk.ocmfa.gov.cn/eng/xjpzxzywshd/202507/t20250729_11679232.htm
Features a section on AI safety:
"Advancing the governance of AI safety. We need to conduct timely risk assessment of AI and propose targeted prevention and response measures to establish a widely recognized safety governance framework. We need to explore categorized and tiered management approaches, build a risk testing and evaluation system for AI, and promote the sharing of information as well as the development of emergency response of AI safety risks and threats. We need to improve data security and personal information protection standards, and strengthen the management of data security in processes such as the collection of training data and model generation. We need to increase investment in technological research and development, implement secure development standards, and enhance the interpretability, transparency, and safety of AI. We need to explore traceability management systems for AI services to prevent the misuse and abuse of AI technologies. We need to advocate for the establishment of open platforms to share best practices and promote international cooperation on AI safety governance worldwide."