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arXiv · 2511.05526

Emergency Response Measures for Catastrophic AI Risk

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

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James Zhang, Miles Kodama, Zongze Wu, Michael Chen, Yue Zhu, Geng Hong. 2025-10-28. Emergency Response Measures for Catastrophic AI Risk. https://arxiv.org/abs/2511.05526

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