情报科学 ›› 2023, Vol. 41 ›› Issue (10): 121-128.

• 业务研究 • 上一篇    下一篇

人工智能颠覆性技术政策工具演变分析

  

  • 出版日期:2023-10-01 发布日期:2023-12-04

  • Online:2023-10-01 Published:2023-12-04

摘要:

【目的/意义】响应人工智能领域颠覆性技术政策新特征与新经济时代科技政策需求,探究该领域颠覆性技
术政策工具特征、应用方式与演变规律,为政策制定者优化政策工具选择提供重要参考价值。【方法/过程】基于的
政策文本计量分析方法与R-Z政策工具分类,在供给、需求、环境三个类别下对人工智能领域颠覆性技术政策工具
进行量化分析,归纳总结了其现实应用与演变情况。【结果/结论】基于分析结果提出了政策工具的结构和演变趋势
特征,形成了中国人工智能领域颠覆性技术政策发展需要注重政策工具多样化的特征、重视需求型政策工具驱动、
加强前瞻性、预测性信息的识别利用的对策建议。【创新/局限】后续研究将对象边界拓展至其他类似颠覆性技术政
策,进一步优化政策工具结构以提升其领域迁移能力与分析效果。

Abstract:

【Purpose/significance】 In response to the emerging characteristics of disruptive technology policies (DTP) of artificial intel⁃
ligence (AI) and the requirement of S&T policies in new economic eras, the paper explored the characteristics, application methods
and development patterns of DTP policy instruments of AI. Crucially, the presented conclusion can be referenced for optimizing the op⁃tions of policy instruments to policy makers.【Method/process】 Based on the policiometrics and the R-Z policy instruments classifica⁃tion, the DTP policy instruments of AI was analyzed quantitatively and the realistic application and development was summarized un⁃der three categories of supply, demand and environment.【Result/conclusion】 Based on the analysis results, the structural and evolu⁃tionary trend characteristics of DTP policy instruments are proposed. The development of DTP of AI in China needs to focus on the characteristics of diversification of policy instruments, pay attention to demand-based policy instruments driving mode, and strengthen the identification and utilization of forward-looking and predictive information.【Innovation/limitation】 In the follow-up research, the boundary of research target is going to be extended to other similar DTP, and the structure of policy instruments is further optimized to improve domain migration ability and analysis effect.