Artificial Intelligence in Digital Government Governance: Innovation, Risks, and Policy Responses

Abstract

With the breakthrough development of artificial intelligence technology, the application of large models in government governance has shown a profound impact. This paper systematically explores the multi-dimensional application scenarios of large artificial intelligence models in constructing China's digital and intelligent government and the resulting governance transformation. The study finds that through application scenarios such as automated government affairs processing, intelligent public services, urban risk prediction, and policy simulation evaluation, large models have significantly improved the administrative efficiency and decision-making of the government and promoted the transformation of the governance model towards a data-driven flat structure. However, risks such as algorithmic discrimination, privacy leakage, administrative ethics violations, and technological dependence have emerged during the technology application process. This paper argues that the deep integration of large artificial intelligence models and government governance needs to strike a balance between technological innovation and institutional regulation. By establishing an adaptive governance framework, we can not only give full play to the advantages of technological empowerment but also avoid potential risks and ultimately achieve the modern upgrade of the national governance system and governance capabilities.