US and China prepare for high-stakes AI safety summit

The upcoming summit builds on decades of quiet collaboration and recent administrative consensus regarding the risks posed by advanced machine learning models. Despite years of discussions, a lack of tangible bilateral policy remains a significant hurdle. To move beyond rhetoric, negotiators must prioritize three critical areas: frontier system governance, the integration of scientific expertise, and the creation of permanent communication channels.

Frontier AI systems present shared vulnerabilities, particularly concerning cyber warfare and automated attacks. Because attribution is increasingly difficult, both nations possess the technical expertise to establish joint protocols that mitigate these risks more effectively than unilateral action. Furthermore, the role of the scientific community is essential. Much like the post-WWII disarmament movements, researchers who understand the architecture of these systems must be empowered to provide the technical oversight necessary to prevent unintended escalation.

Finally, the two powers must formalize long-term engagement mechanisms. By leveraging existing informal networks—such as the Tsinghua-Brookings dialogues and the Singapore Consensus—the delegations can move toward a structured framework. Focusing on areas of shared concern, such as AI-enabled threats to nuclear security, will allow both sides to replace temporary, reactive measures with a sustainable, strategic approach to global AI safety.