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基于我国10项人工智能规划与政策的内容分析
引用本文:章小童,李月琳,樊振佳.基于我国10项人工智能规划与政策的内容分析[J].现代情报,2021,40(12):17-26.
作者姓名:章小童  李月琳  樊振佳
作者单位:南开大学商学院信息资源管理系, 天津 300071
基金项目:中央高校基本科研业务费专项资金与教育部人文社会科学研究专项任务项目"工程科技人才培养研究"(项目编号:19JDGC003)。
摘    要:目的/意义] 文章旨在揭示相关政策的主题结构特征及其涵义,为政策精神传播、政策制定与优化、产业布局与发展提供参考。方法/过程] 主要通过内容分析法和话语分析法,对我国国家及人工智能发展水平不同层级省市的共10项人工智能发展政策文本进行分析。结果/结论] 研究发现,各省市及国家人工智能政策的内容分布呈现出同一性与差异性并存的特征。最后,揭示了已有政策中文件可能存在的不足,并提出了几点建议,希望能为相关政策制定和优化提供参考。

关 键 词:人工智能  政策分析  内容分析  话语分析  产业情报  

Content Analysis for Artificial Intelligence Planning and Policies in China
Authors:Zhang Xiaotong  Li Yuelin  Fan Zhenjia
Institution:Department Information Resources Management, Business School, Nankai University, Tianjin 300071, China
Abstract:Purpose/Significance] The purpose of this study is to identify the structure features by mining the texts of the planning and policies published in 10 provinces or cities,in order to disseminate key points in the texts,help refine the policies and planning,and inform the development of related industries.Method/Process] The study examined 10 artificial intelligence(AI)policies and planning texts through content analysis and discourse analysis.Result/Conclusion] The results revealed the similarities and differences in these texts.However,the policies and planning in different provinces and cities usually developed based on their own economic base,geographical characteristics,and cultural features,and thus there were many different features.Finally,the paper discussed some shortcomings in the planning and policies,based on which it gave suggestions for further refining the policies and planning texts.
Keywords:artificial intelligence  policy analysis  content analysis  discourse analysis  industrial intelligence  
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