The Pathway for Modernization Transformation in Government Governance —— Construction of Digital Intelligent Government

Authors

  • Binglong Gao
  • Qiushi Jin

DOI:

https://doi.org/10.37420./j.emr.2024.019

Keywords:

government governance, digital government, artificial intelligence, digital intelligent government, governance modernization

Abstract

Government governance is a complex and systematic endeavor. The governance model has transformed from traditional to digital governance. However, digital governance has struggled to meet current needs with the evolution of public issues and the diversification of civic demands, particularly with the rapid advancement of technology, represented by artificial intelligence. Driven by realistic demand and technological innovation, the modernization transformation of government governance is bound to become a global trend. This article proposes a conceptualization for transforming government governance, namely constructing the digital intelligent government. The logic behind constructing the digital intelligent government involves the government formulating strategies, mobilizing technological talent and material resources, and embedding artificial intelligence technology into digital governance. The digital Intelligent government has the potential to overturn the shortcomings of digital governance models and achieve the goal of effective government. However, the construction of the digital intelligent government will face challenges and risks from ethical, governmental, talent, and societal aspects, necessitating early measures by the government.

Author Biographies

Binglong Gao

Zhou Enlai School of Government, Nankai University, Tianjin, China

Qiushi Jin

Zhou Enlai School of Government, Nankai University, Tianjin, China

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Published

2024-12-08

How to Cite

Gao, B., & Jin, Q. (2024). The Pathway for Modernization Transformation in Government Governance —— Construction of Digital Intelligent Government. Economics & Management Review, 5(1). https://doi.org/10.37420./j.emr.2024.019

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