With its powerful capabilities in data pro-cessing,analysis,and prediction,artificial intelligence has opened up new avenues for urban safety risk management.Through mechanisms such as data collection,in-depth analy-sis,and precise response,artificial intelligence has significantly enhanced urban safety levels.However,the inherent contradic-tions of artificial intelligence functionality,including automation-induced risks of loss of control,autonomy,and technological de-pendence,have given rise to the security paradox in urban safety risk management.This security paradox has further triggered a series of issues,including data security and privacy protection,reliability and stability of artificial intelligence systems,and the lag of regulatory and legal systems behind technological develop-ment,plunging urban safety risk management into a more com-plex artificial intelligence governance dilemma.By strengthening data security and privacy protection,enhancing the reliability and stability of artificial intelligence systems,and establishing sound regulatory mechanisms and legal frameworks,we can ef-fectively address these governance dilemmas,ensuring that arti-ficial intelligence plays a greater positive role in urban safety risk management practices and promoting the construction of a safer,smarter,and more harmonious urban living space.
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