北京工业大学学报（社会科学版）2025，Vol.25Issue(6)：45-61,17.DOI:10.12120/bjutskxb202506045
人工智能驱动公共服务高质量发展:理论逻辑、实践模式和发展路径
Artificial Intelligence Drives High-Quality Development of Public Services:Theoretical Logic,Practical Models,and Development Paths
摘要
Abstract
A systematic exposition has been conducted on the high-quality development of public services driven by artificial intelligence from three aspects:theoretical logic,innovative models,and development paths.Firstly,the gap between the current status of public services and high-quality development is reviewed,and the reasons analyzed.The technological advantages of AI in big data analysis,deep learning,and intelligent decision support are pointed out.An internal model of artificial intelligence supporting public services has been established from four aspects:demand identification,service provision,resource allocation,and effectiveness feedback.Through the analysis in the fields of smart cities,healthcare,education,etc.,it reveals how AI technology optimizes traditional public service models and promotes the transformation from"passive response"to"active foresight".Secondly,it emphasizes the practical models driven by artificial intelligence,including"precise service+functional optimization","proactive prevention+panoramic service",and"global perception+holographic platform".Finally,specific path suggestions are proposed to promote the high-quality development of public services,such as building a demand driven service ecosystem with"active perception dynamic iteration"as the core,developing a governance platform of"digital twin artificial intelligence",promoting a seamless integration of"situational recognition"interactive service model,creating a collaborative innovation mechanism guided by"adaptive learning service optimization",and implementing a progressive development model of"field pilot and then global development".关键词
人工智能/公共服务高质量发展/理论逻辑/创新模式/发展路径Key words
artificial intelligence/high quality development of public services/theoretical logic/innovative mode/development path分类
经济学引用本文复制引用
米加宁,张斌,周为..人工智能驱动公共服务高质量发展:理论逻辑、实践模式和发展路径[J].北京工业大学学报（社会科学版）,2025,25(6):45-61,17.基金项目
国家社会科学基金重大项目(21&ZD336) （21&ZD336）
国家社会科学基金成果文库项目(22KSH001) （22KSH001）
湖南省自然科学基金面上项目(2023JJ30315) （2023JJ30315）
湖南省研究生科研创新立项重点项目(CX20230733) （CX20230733）
2024年湖南省研究生科研创新项目(LXBZZ2024147) （LXBZZ2024147）
