The Application and Future of Large Models for Digital Government in Public Services: A Comparative Study of China, the United States, and Singapore

DOI

10.2991/978-2-38476-593-5_49How to use a DOI?

Keywords

Digital governance; Government large models; Artificial intelligence; Agile governance; Whole-of-government

Abstract

With the iteration and development of large-scale models, generative artificial intelligence is fundamentally reshaping the government governance paradigm. It aims to eliminate the “islands” among departments through technological integration, form an integrated government model, and utilize an active demand identification mechanism to transform the provision of public services from an application-driven to an authoritation-driven agile governance model, thereby promoting ubiquitous access to intelligent services. This paper adopts a comprehensive approach including literature review, institutional analysis, data interpretation, and empirical verification to systematically define the scope of government large models from the perspectives of technology, management, and law, and analyzes their practical efficacy and evolution logic in the construction of China’s digital government. Research shows that China has initially established an advanced digital government operation and legal framework, significantly enhancing the intelligence and modernization of administrative processes, and providing a Chinese solution for global smart government initiatives. Meanwhile, structural bottlenecks such as model illusions, data silos, security and privacy risks, and ambiguous responsibilities and permissions continue to impede its in-depth application. Therefore, this study, by drawing on the practical comparisons of the United States and Singapore, proposes a digital government implementation path that takes scenario-driven development as the core, data governance and secure controllable systems as the support, and an optimized assessment feedback loop and a clear responsibility division mechanism as the support, in order to promote the substantive implementation of digital government in the public service field.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinghui Li
PY  - 2026
DA  - 2026/06/30
TI  - The Application and Future of Large Models for Digital Government in Public Services: A Comparative Study of China, the United States, and Singapore
BT  - Proceedings of the 2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)
PB  - Atlantis Press
SP  - 448
EP  - 460
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-593-5_49
DO  - 10.2991/978-2-38476-593-5_49
ID  - Li2026
ER  -