With its powerful capabilities in data processing, analysis, and prediction, artificial intelligence has opened up new avenues for urban safety risk management. Through mechanisms such as data collection, in-depth analysis, and precise response, artificial intelligence has significantly enhanced urban safety levels. However, the inherent contradictions of artificial intelligence functionality, including automation-induced risks of loss of control, autonomy, and technological dependence, 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 development, plunging urban safety risk management into a more complex 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 effectively address these governance dilemmas, ensuring that artificial 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.
XU Hao
,
HU Xiao-yi
. Operational mechanism and governance dilemma of artificial intelligence empowering urban security risk governance[J]. Urban Problems, 2024
, 345(4)
: 95
-103
.
DOI: 10.13239/j.bjsshkxy.cswt.240409
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