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The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model

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  • Chunyi Shan

    (School of Management, Zhengzhou University, Zhengzhou 450001, China)

  • Jun Wang

    (School of Management, Zhengzhou University, Zhengzhou 450001, China
    Institute of Big Data Science, Zhengzhou University of Aeronautics, Zhengzhou 450046, China)

  • Yongming Zhu

    (School of Management, Zhengzhou University, Zhengzhou 450001, China
    Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou 450001, China)

Abstract

The most critical driver of the digital economy comes from breakthroughs in cutting-edge technologies such as artificial intelligence. In order to promote technological innovation and layout in the field of artificial intelligence, this paper analyzes the patent text of artificial intelligence technology using the LDA topic model from the perspective of the patent technology subject based on Derwent patent data. The results reveal that AI technology is upgraded from chips, sensing, and algorithms to innovative platforms and intelligent applications. Proposed countermeasures are necessary to advance the digitalization of the global economy and to achieve economic globalization in terms of industrial integration, building ecological systems, and strengthening independent innovation.

Suggested Citation

  • Chunyi Shan & Jun Wang & Yongming Zhu, 2023. "The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model," Sustainability, MDPI, vol. 15(2), pages 1-12, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1360-:d:1031793
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    References listed on IDEAS

    as
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