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 (8): 78-83.doi: 10.12267/j.issn.2096-5931.2025.08.011

专题:人工智能+ 上一篇    下一篇

上海政务垂类大模型应用探索

Exploration of domain-specific large model applications in Shanghai’s digital government

吴重庆1, 杨思哲2, 宁庭勇2, 胡永波2   

  1. 1.上海市大数据中心,上海 201203
    2.云赛智联股份有限公司,上海 200233
  • 收稿日期:2025-06-15 出版日期:2025-08-25 发布日期:2025-09-02
  • 作者简介:
    吴重庆,上海市大数据中心助理工程师,主要研究方向为政务数字化应用、一网通办数字化研究、人工智能、大数据等
    杨思哲,云赛智联股份有限公司技术分公司助理架构师,主要研究方向为人工智能等
    宁庭勇,云赛智联股份有限公司技术分公司架构师,主要研究方向为云计算、网络安全、人工智能等
    胡永波,云赛智联股份有限公司技术分公司副总经理,主要研究方向为智慧城市顶层规划、大数据等

WU Chongqing1, YANG Sizhe2, NING Tingyong2, HU Yongbo2   

  1. 1. Shanghai Bigdata Center, Shanghai 201203, China
    2. INESA Co., Ltd., Shanghai 200233, China
  • Received:2025-06-15 Online:2025-08-25 Published:2025-09-02

摘要:

政务垂类大模型作为新一代人工智能在政务领域的关键落地形态,正逐步成为提升政府治理效能与公共服务能力的重要支撑。在多年深耕政务数字化的基础上,上海市积极探索大模型技术在“一网通办”“一网统管”“一网协同”等政务服务场景下的具体落地方法,旨在通过研究上海政务垂类大模型的应用与实践,剖析应用过程中面临的核心挑战,为全国各地推进政务大模型建设提供可参考的实践经验与路径。

关键词: 政务垂类大模型, 政务数智化, 数字政府, 人工智能+

Abstract:

As a key application form of next-generation artificial intelligence in the public sector, domain-specific large models for government services are increasingly becoming critical enablers for enhancing administrative efficiency and public service delivery. Building upon years of experience in digital governance, Shanghai has actively explored practical approaches for deploying large model technologies across core e-government scenarios such as “One Network for All Services”, “One Network for Unified Management”, and “One Network for Coordinated Operations”. The aim is to study the application and practice of Shanghai’s government vertical big models, analyze the core challenges faced in the application process, and provide reference practical experience and path for promoting the construction of government big models throughout the country.

Key words: domain-specific large models, intelligent government services, digital government, artificial intelligence+

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