- Hong Kong will deploy an “AI city brain” system to improve its ability to respond to extreme weather, major incidents, and public order management.
- Chief Executive John Lee announced seven key areas for AI risk governance in his policy address, while affirming that AI will be widely applied in public administration.
- The first phase of the system is expected to become operational in Q2 2027 and integrate with the Security Bureau’s Emergency Monitoring and Support Centre before the next typhoon season.
- The system will use AI, big data analytics, and a shared data environment to provide early warnings, forecast trends, and support cross-departmental coordination.
- Data will be aggregated from the Hong Kong Observatory, Drainage Services Department, Fire Services Department, and the 999 and 1823 emergency hotlines.
- AI will help forecast areas at risk of flooding, enabling personnel and resources to be deployed more quickly during emergencies.
- Hong Kong will also pilot a smart traffic management platform in Aberdeen in 2027, using real-time data on traffic flow, passenger volumes, and road conditions.
- The government will establish an AI Commissioner position under the Digital Policy Office from 2027 to oversee seven areas of AI risk governance.
- Responsibilities will include combating AI-enabled crimes such as deepfakes and online scams, developing guidelines for AI Agent governance, reviewing legal liability for AI products, and strengthening protections for minors.
- Hong Kong is adding HK$1 billion (about US$127.4 million) to its AI Subsidy Programme. The Sandy Ridge Data Centre aims to reach a computing capacity of 180,000 petaflops by 2032, 36 times its current capacity.
📌Hong Kong is combining investment in AI infrastructure with the development of an AI risk governance framework. In addition to developing an “AI city brain” for disaster response, traffic management, and public services, the government will establish an AI Commissioner position, increase AI support funding by HK$1 billion (about US$127.4 million), and expand computing infrastructure to 180,000 petaflops by 2032. The goal is to promote AI innovation while strengthening urban safety, security, and administrative efficiency.
