信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2025, Vol. 51 ›› Issue (11): 74-80.doi: 10.12267/j.issn.2096-5931.2025.11.011

产业与政策 上一篇    下一篇

政务大模型应用策略研究

Research on application strategies for government large models

王薇1, 庞晓博2   

  1. 1.北京航天世纪规划设计院有限公司,北京 100195
    2.航天网安技术(深圳)有限公司,北京 100195
  • 收稿日期:2025-05-28 出版日期:2025-11-25 发布日期:2025-11-28
  • 作者简介:
    王薇, 北京航天世纪规划设计院有限公司高级工程师,长期从事电子政务领域政策、标准规范方面的研究工作
    庞晓博, 航天网安技术(深圳)有限公司高级工程师,长期从事电子政务信息安全、行业应用相关解决方案的研究工作

WANG Wei1, PANG Xiaobo2   

  1. 1. Beijing Aerospace Century Planning and Design Institute Co., Ltd., Beijing 100195, China
    2. Aerospace Network Security Technology (Shenzhen) Co., Ltd., Beijing 100195, China
  • Received:2025-05-28 Online:2025-11-25 Published:2025-11-28

摘要:

随着数字政府建设的深入推进,以及人工智能技术的快速发展,特别是国内开源大模型推出之后,各级政务部门均在积极地推动人工智能大模型的部署和应用。大模型具备推动政府运行模式创新的能力,是完善政府治理体系、提升治理能力的关键手段。通过明确政务大模型分类,构建政务大模型应用参考模型,以材料智能审批、智能公文生成、网络交易监管等案例阐述了大模型对政府业务工作的支撑作用。针对政务大模型应用在规划设计、生成内容可信度、模型训练数据质量、数据安全风险等方面存在的不足,围绕政务大模型的建设和部署、可信模型构建、数据要素供给、应用场景开放、安全及风险防控、建设运营等关键问题,提出推进政务大模型应用的实施建议。

关键词: 人工智能, 政务大模型, 应用

Abstract:

With the in-depth advancement of digital government construction and the rapid development of artificial intelligence(AI) technology, especially following the launch of domestic open-source large models, government departments at all levels are actively promoting the deployment and application of AI large models. Large models possess the capability to drive innovations in government operation modes and serve as key tools to improve governance system and enhance governance capacity. By clarifying the classification of government large models and constructing a reference model for their application, this paper illustrates the supporting role of large models in government business work through three cases such as intelligent document approval, intelligent official document generation, and online transaction supervision. In response to the shortcomings existing in the application of government large models, including aspects of planning and design, credibility of generated content, quality of model training data, and data security risks, this paper proposes implementation suggestions for advancing the application of government large models, focusing on key issues such as the construction and deployment of government large models, the development of trustworthy models, the supply of data elements, the opening of application scenarios, security and risk prevention, as well as construction and operation.

Key words: artificial intelligence, large language models for digital government, application

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