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Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation

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  • Ksenia V. Ekimova

    (Plekhanov Russian University of Economics)

Abstract

This paper is aimed at balancing the interests of business and society in the digital economy, to reduce the social risks of the Fourth Industrial Revolution. The goal of this paper is to study the experience and prospects of the humanisation of AI through the improvement of the practice of corporate social responsibility in Russia. By the example of the experience of Russian regions in 2021, we use econometric modelling to prove that the digital regional economy has a large potential in the sphere of humanisation of AI. The potential for the humanisation of AI in the digital economy of Russian regions is determined by responsible innovations, responsible production and logistics, as well as responsible marketing and sales, which contribute to the implementation of SDGs 9–12. The theoretical significance of the paper lies in its presenting smart region as a socio-economic environment for the humanisation of AI. The scientific novelty of the paper lies in its offering a new—meso-level—view of the humanisation of AI. The advantages of the new view include, first, consideration of socio-economic conditions for the humanisation of AI in a region; second, the most precise identification and correct measuring of the consequences of humanisation of AI for the quality of life in a region. The practical significance of the research results consists in the fact that the new proposed approach to the humanisation of AI, which implies public administration of this process at the level of a region, allows accelerating the considered process.

Suggested Citation

  • Ksenia V. Ekimova, 2023. "Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02444-w
    DOI: 10.1057/s41599-023-02444-w
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