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Research on the Path and Effectiveness Evaluation of Artificial Intelligence Empowering Local Government Smart Governance

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  • Cui, Hongyu

Abstract

With the accelerated iteration of artificial intelligence technologies, their integration into local government governance has evolved from pilot initiatives to systematic embedding. Hangzhou's "City Brain" system dynamically optimizes traffic signals, while Shenzhen's Nanshan District employs NLP technology to automatically parse and categorize 12345 service ticket semantics. Shanghai's Pudong New Area utilizes multi-source spatiotemporal data modeling for intelligent risk prediction. These practices demonstrate that AI empowerment is transcending tool-level applications, fundamentally reshaping data governance paradigms, policy response mechanisms, and service delivery structures. Based on field research and case comparisons across 12 prefecture-level cities in the Yangtze River Delta and Pearl River Delta regions, this paper proposes a "capability-process-result" three-dimensional evaluation framework. By incorporating algorithmic transparency, cross-departmental collaboration efficiency, and public satisfaction as core indicators, it addresses long-neglected institutional compatibility and governance resilience issues in technological implementation.

Suggested Citation

  • Cui, Hongyu, 2026. "Research on the Path and Effectiveness Evaluation of Artificial Intelligence Empowering Local Government Smart Governance," GBP Proceedings Series, Scientific Open Access Publishing, vol. 21, pages 51-58.
  • Handle: RePEc:axf:gbppsa:v:21:y:2026:i::p:51-58
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