工具-目标-客体三维框架下省级政府促进人工智能发展的政策文本量化OA
A Quantitative Text Analysis of Provincial AI Development Policies Within a Tools-Goals-Objects Framework
人工智能作为新一轮技术革命的关键对国家发展至关重要.尽管我国人工智能发展已被纳入国家战略层面,但地方政府政策的区域性差异较大.基于我国27个省级政府发布的90份人工智能政策,构建"工具-目标-客体"三维分析框架,揭示省级政府发布的人工智能相关政策的结构性特征和地域分布差异.研究发现:区域政策资源配置呈现显著非均衡性,东部地区政策出台密集;政策工具使用存在结构性失衡且整合效能尚未充分释放,以供给型为主,环境型次之,需求型最弱;政策目标侧重产业应用,对基础研究与绿色基建的关注不足;政策客体过度倾斜到企业,个人、高校与科研机构参与度较低.据此,本研究从区域协调发展、政策工具组合优化、整合政策目标体系、完善多元主体创新生态四方面提出优化路径,为提升省级政府人工智能政策的效能提供决策参考.
Artificial intelligence(AI)has become a core part of the new round of technological revolu-tion,playing a key role in national development.Though China has elevated the development of AI to a nation-al strategy,there are still quite obvious regional differences in the policies of local governments.By analyzing 90 AI policy documents released by 27 provincial governments across the country,the study built a three-di-mensional analysis framework of Tools-Goals-Objects,aiming to show the structural characteristics and re-gional distribution differences of AI policies at the provincial level.The main findings are as follows:policy re-sources are not evenly distributed among regions with eastern regions issuing policies more intensively;there is a structural imbalance in the use of policy tools,the overall synergy effect has not been fully realized,and currently supply-side tools are the main ones,followed by environmental tools,while demand-side tools are used the least;policy goals focus on industrial applications,while attention to basic research,green infrastruc-ture construction is still insufficient;policy targets are overly concentrated on enterprises,while individuals,universities and research institutions have a relatively low level of participation.Based on this,the study puts forward improvement suggestions from four aspects:promoting regional coordinated development,optimizing the combination of policy tools,coordinating the policy goal system,and building an innovation ecosystem with multi-subject participation,so as to provide reference for relevant decisions for the purpose of improving the implementation efficiency of provincial AI policies.
任敏;江紫暄;杨昌莹
贵州大学 公共管理学院,贵州 贵阳 550025贵州大学 公共管理学院,贵州 贵阳 550025贵州大学 公共管理学院,贵州 贵阳 550025
社会科学
人工智能政策工具文本挖掘
AIpolicy tooltext study
《六盘水师范学院学报》 2026 (2)
40-57,18
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