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US, China Seek AI Governance Cooperation Amid Tech Rivalry
(MENAFN) Washington and Beijing continue to compete for leadership in artificial intelligence while also exploring areas of cooperation on international AI governance, cybersecurity threats and safeguards against advanced AI systems being obtained by non-state groups.
The two countries are developing separate frameworks for shaping global AI governance, while the United Nations is advancing a third approach, according to a recent analysis.
The US-backed Silica Initiative, which focuses on AI and semiconductor supply chains, had expanded to 24 participating countries by June. Meanwhile, the Chinese-led World Artificial Intelligence Cooperation Organization (WAICO) had attracted around 29 founding members, according to the analysis published Sept. 21.
The two groupings have developed different geographic profiles. Pax Silica participants largely consist of wealthy economies and US security partners across Europe, the Indo-Pacific, the Middle East and Latin America. WAICO, by comparison, includes mainly low- and middle-income countries. Kazakhstan is the only country participating in both initiatives.
Despite their broader rivalry, Washington and Beijing share several areas of concern related to AI. These include identifying and monitoring cyberattacks powered by artificial intelligence, Chinese access to advanced US AI models, American restrictions affecting open-source Chinese models and efforts to keep highly capable frontier systems away from non-state actors.
During Chinese President Xi Jinping’s visit to Washington last week, discussions with US President Donald Trump included the development of AI in a human-centered and controllable manner, along with potential risks associated with increasingly advanced systems.
The analysis suggested that future discussions could begin by establishing shared terminology and definitions. One potential area of agreement would be determining which AI systems qualify as frontier models, providing a common basis for further negotiations.
Access to advanced computing hardware remains a major component of the technological competition between the two countries. High-performance chips are essential for training and developing sophisticated AI models.
US restrictions on advanced technology exports have limited Chinese AI companies’ ability to obtain cutting-edge processors and computing resources. At the same time, Beijing is working to strengthen domestic semiconductor production and expand its own AI capabilities.
The analysis also noted that the two sides currently lack a recognized system for verifying whether AI models meet agreed security standards. The absence of such a verification mechanism remains a major obstacle to establishing broader rules for AI security.
The two countries are developing separate frameworks for shaping global AI governance, while the United Nations is advancing a third approach, according to a recent analysis.
The US-backed Silica Initiative, which focuses on AI and semiconductor supply chains, had expanded to 24 participating countries by June. Meanwhile, the Chinese-led World Artificial Intelligence Cooperation Organization (WAICO) had attracted around 29 founding members, according to the analysis published Sept. 21.
The two groupings have developed different geographic profiles. Pax Silica participants largely consist of wealthy economies and US security partners across Europe, the Indo-Pacific, the Middle East and Latin America. WAICO, by comparison, includes mainly low- and middle-income countries. Kazakhstan is the only country participating in both initiatives.
Despite their broader rivalry, Washington and Beijing share several areas of concern related to AI. These include identifying and monitoring cyberattacks powered by artificial intelligence, Chinese access to advanced US AI models, American restrictions affecting open-source Chinese models and efforts to keep highly capable frontier systems away from non-state actors.
During Chinese President Xi Jinping’s visit to Washington last week, discussions with US President Donald Trump included the development of AI in a human-centered and controllable manner, along with potential risks associated with increasingly advanced systems.
The analysis suggested that future discussions could begin by establishing shared terminology and definitions. One potential area of agreement would be determining which AI systems qualify as frontier models, providing a common basis for further negotiations.
Access to advanced computing hardware remains a major component of the technological competition between the two countries. High-performance chips are essential for training and developing sophisticated AI models.
US restrictions on advanced technology exports have limited Chinese AI companies’ ability to obtain cutting-edge processors and computing resources. At the same time, Beijing is working to strengthen domestic semiconductor production and expand its own AI capabilities.
The analysis also noted that the two sides currently lack a recognized system for verifying whether AI models meet agreed security standards. The absence of such a verification mechanism remains a major obstacle to establishing broader rules for AI security.
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