Emergency Response Measures for Catastrophic Risk

James Zhang, Miles Kodama, Zongze Wu, Michael Chen, Yue Zhu, Geng Hong

Keywords: China AI Governance, Emergency Response, Catastrophic AI Risks, Frontier Safety Policy

TL;DR: Conceptualizing and recommending emergency management measures for catastrophic AI risks in China.

Abstract: Chinese authorities are extending the country’s four-phase emergency response framework (prevent, warn, respond, and recover) to address risks from advanced artificial intelligence (AI). Concrete mechanisms for the proactive prevention and warning phases, however, remain under development. This paper analyzes an implementation model inspired by international AI safety practices: Frontier Safety Policies (FSPs). These policies feature pre-deployment evaluations for dangerous capabilities and tiered, pre-planned safety measures. We observe close alignment between FSPs and the proactive phases of China’s emergency response framework, suggesting that the FSP model could help operationalize AI emergency preparedness in a manner consistent with China’s established governance principles.

Submission Number: 23