Hong Kong to build AI city brain for emergencies
SingTao · 1 SOURCESabout 5 hours ago5 MIN
Summary
Hong Kong’s latest Policy Address proposes an AI-enabled “city brain” whose first phase will cost about HK$200 million and aims to build an integrated urban management system linking data from works, environmental and transport departments by 2028. Speaking at a Legislative Council security panel policy briefing on September 24, Secretary for Security Chris Tang Ping-keung (鄧炳強) said the platform would fold all existing systems related to extreme weather and emergency incidents into a shared electronic platform for cross-department communication. He stressed that the project is not designed to collect new information from outside government, but to digitally integrate existing departmental data for unified AI analysis. Tang also said AI would remain a tool, with people ultimately reviewing whether its recommendations are workable before action is taken
Key Points
- The first phase carries an investment of about HK$200 million and targets completion in 2028, focusing on an integrated city-management system
- Tang said current emergency coordination still depends on staff from relevant departments entering a monitoring and support centre to manually compare separate systems
- He cited disconnected systems including the Hong Kong Observatory’s forecasting platform, landslip reporting under civil engineering authorities, and underground pipe sensors run by water and drainage departments
- Under the new setup, AI would automatically detect and combine data on drain blockages, storm movement, traffic congestion and CCTV flood images
- The system would then predict specific locations at risk of serious flooding and suggest which departments should deploy personnel to respond
Why It Matters
For Hong Kong residents, the practical test will be whether emergency decisions during typhoons, black rainstorms and other major incidents can be made faster and with fewer blind spots across departments. Tang’s insistence on human review also addresses a core public concern: whether automated recommendations in high-stakes emergencies will remain subject to official judgment rather than machine-only decisions