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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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    References listed on IDEAS

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    1. Nenad Tomašev & Julien Cornebise & Frank Hutter & Shakir Mohamed & Angela Picciariello & Bec Connelly & Danielle C. M. Belgrave & Daphne Ezer & Fanny Cachat van der Haert & Frank Mugisha & Gerald Abil, 2020. "AI for social good: unlocking the opportunity for positive impact," Nature Communications, Nature, vol. 11(1), pages 1-6, December.
    2. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    3. Kuang-Hua Hu & Fu-Hsiang Chen & Ming-Fu Hsu & Gwo-Hshiung Tzeng, 2023. "Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule-based decision-making model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-31, December.
    4. Ehsan Nabavi & Chris Browne, 2023. "Leverage zones in Responsible AI: towards a systems thinking conceptualization," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    5. Ehsan Nabavi & Chris Browne, 2023. "Correction: Leverage zones in Responsible AI: towards a systems thinking conceptualization," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-1, December.
    6. Tomas Hauer, 2022. "Importance and limitations of AI ethics in contemporary society," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    7. Shahriar Akter & Katina Michael & Muhammad Rajib Uddin & Grace McCarthy & Mahfuzur Rahman, 2022. "Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics," Annals of Operations Research, Springer, vol. 308(1), pages 7-39, January.
    8. Saheb, Tahereh & Saheb, Tayebeh, 2023. "Topical review of artificial intelligence national policies: A mixed method analysis," Technology in Society, Elsevier, vol. 74(C).
    9. Xingwei Li & Jinrong He & Yicheng Huang & Jingru Li & Xiang Liu & Jiachi Dai, 2022. "Predicting the factors influencing construction enterprises’ adoption of green development behaviors using artificial neural network," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    10. Mustafa İçen, 2022. "The future of education utilizing artificial intelligence in Turkey," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
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