Science Research Management ›› 2023, Vol. 44 ›› Issue (10): 10-21.DOI: 10.19571/j.cnki.1000-2995.2023.10.002
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Zhang Zhihe, Gao Zhongyi
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Abstract: With the release of Chat GPT and the advent of New Bing, especially the emergence of new war modes in the Russia-Ukraine Conflict, AI technology has played an important role in the future development of competitions. How to break through the bottleneck of artificial intelligence technology, effectively enhance the competitiveness of the artificial intelligence industry is currently an unavoidable problem. This article focused on improving the competitiveness of the artificial intelligence industry, with the main focus on solving the problem of industrial innovation efficiency. In this paper, through literature analysis and system analysis methods, relevant analysis was conducted on the innovation ecosystem of the artificial intelligence industry, the following main conclusions was made: (1) the overall trend of artificial intelligence has become the core hub of industrial development, social change, and international competition has been clarified, and the viewpoint that the development of artificial intelligence is the development of the future has been formed; (2) we constructed a scientific and efficient artificial intelligence industry innovation ecosystem model, which will provide an effective analytical tool for effectively solving the problem of innovation environment barriers and innovation subject opposition, and for the macro regulatory layout and micro precise policy implementation of the artificial intelligence industry; (3) we established a multi-disciplinary, multi industry talent cultivation and output mechanism with intelligent education as the core, thus providing strategic support for the long-term development of the artificial intelligence industry.
Key words: artificial intelligence, innovation ecosystem, industrial innovation system, industrial innovation ecosystem, intelligent education
Zhang Zhihe, Gao Zhongyi. Construction and analysis of the model of an AI industry innovation ecosystem[J]. Science Research Management, 2023, 44(10): 10-21.
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URL: https://www.kygl.net.cn/EN/10.19571/j.cnki.1000-2995.2023.10.002
https://www.kygl.net.cn/EN/Y2023/V44/I10/10