The United States and China are preparing for high-level bilateral talks focused on artificial intelligence regulation, according to five sources familiar with the matter. Led by U.S. Treasury Secretary Scott Bessent, these discussions aim to address the systemic risks posed by competing frontier AI models. The talks stem from the May summit between President Trump and President Xi Jinping and are expected to occur ahead of President Xi’s visit to the U.S. in late September.
Treasury Secretary Scott Bessent to Lead U.S.-China AI Talks
U.S. Treasury Secretary Scott Bessent will spearhead the American delegation during the upcoming negotiations, according to four sources cited by Reuters.
Negotiation Timeline and Strategic Scope
While the exact dates remain fluid, sources indicate the meeting is planned for September, prior to President Xi Jinping’s scheduled arrival in the U.S. on September 24. Preparations are currently in the initial stages, meaning the final agenda, the full roster of participants, and the specific venue for the talks have yet to be determined by either administration.
Neither the White House, the U.S. State Department, nor the Treasury Department provided immediate comment when contacted by Reuters. Similarly, Chinese agencies—including the National Development and Reform Commission, the cyberspace regulator, and the Ministry of Foreign Affairs—did not respond to requests for comment.
Global Implications of Frontier Model Oversight
Pro Tips for Following AI Policy
Frequently Asked Questions
Who is leading the U.S. effort in these AI talks?
U.S. Treasury Secretary Scott Bessent is leading the American delegation for these discussions, according to multiple sources.
When are the U.S.-China AI talks expected to take place?
The meetings are expected to occur in September, ahead of President Xi Jinping’s planned visit to the U.S. on September 24.
What is the primary goal of these discussions?
The talks aim to address the potential risks associated with the development and regulation of powerful frontier AI models.
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