摘要
文章以中国、美国、英国、德国、印度等主要人工智能大国为研究对象,通过钻石模型构建评价指标体系,运用主成分分析法对五国人工智能产业国际竞争力进行分析。总结借鉴其他国家人工智能产业发展过程中的优劣势与形成原因,从人工智能经历的“概念化———商业化———产业化”发展三阶段周期入手,明确不同发展阶段起着关键作用的有利要素类型,提出了三种不同实现路径下的分类政策思路。最后根据国际政治经济形势,提出在“双循环”战略下提升中国人工智能产业国际竞争力的依据与政策建议。
This paper takes five countries of China,the U.S.,the U.K.,India and Germany as research objects and constructs an evaluation index system through the Michael Porter Diamond Model(PDM).Then apply principal component analysis to quantitative and summarize the AI industry’s advantages and disadvantages of these countries.The paper also define that Artificial Intelligence will go through the development cycle of"conceptualization,commercialization and industrialization".So we put forward three policy types after being clear of the types of advantages elements which play a key role in different part of stage of the AI development.Finally,under the changes of the international politics and economy,we suggest that we need to set our policies with the"dual circulation"to improve the competitiveness of China's artificial intelligence industry.
作者
董天宇
孟令星
DONG Tian-yu;MENG Ling-xing(China University of Political Science and Law,Business College,Beijing 100088,China)
出处
《科学学研究》
CSSCI
CSCD
北大核心
2022年第2期230-236,287,共8页
Studies in Science of Science
关键词
人工智能
国际竞争力
比较研究
双循环战略
Artificial Intelligence
international competitiveness
comparative study
dual circulation strategy
