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双循环战略提升中国人工智能产业竞争力途径
引用本文:双循环战略提升中国人工智能产业竞争力途径.双循环战略提升中国人工智能产业竞争力途径[J].科学学研究,2022,40(2):230-236.
作者姓名:双循环战略提升中国人工智能产业竞争力途径
作者单位:中国政法大学
摘    要: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。

收稿时间:2020-12-21

Policy to improve the international competitiveness of China's artificial intelligence industry with the dual circulation strategy
Abstract:Abstract: This paper takes the examples of five countries which is China, the U.S., the U.K., India and Germany as research objects and constructs an index evaluation system by Michael Porter Diamond Model(PDM), applying principal component analysis to quantitative about it and then summarizes the AI industry’s advantages and disadvantages of these countries. Artificial intelligence will go through the development cycle of "conceptualization, commercialization and industrialization". We put forward three policy types after being clear of the types of advantages elements which play a key role in different part of development of the AI. Finally, under the changes of the international political and economic, we suggest that we need to set our policies with the "dual circulation" to improve the competitiveness of China's artificial intelligence industry.
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