{"id":6083,"date":"2026-01-21T12:25:00","date_gmt":"2026-01-21T12:25:00","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=6083"},"modified":"2026-06-02T10:41:01","modified_gmt":"2026-06-02T09:41:01","slug":"27-6-24-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-6-24-en\/","title":{"rendered":"27.6.24 En"},"content":{"rendered":"\n

Integration of artificial intelligence technologies into regional governance systems: principles, models, and development directions<\/strong><\/h1>\n\n\n\n

Zh.S. Zhangorazova, E.S. Bakkuev, M.Sh. Gazaeva, A.O. Kilov<\/strong><\/p>\n\n\n\n

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Abstract<\/strong>.<\/strong> <\/em>Artificial intelligence is becoming an increasingly significant factor in the economic and social development of countries worldwide. The use of artificial intelligence in regional economic governance has a number of specific aspects that have not yet been fully understood and incorporated into the traditional regional governance system.
Aim.<\/strong> The paper is to identify various aspects of artificial intelligence’s involvement in regional economic governance.
Materials and methods<\/strong>. The study combines theoretical and empirical methods, including a systematic review on the use of artificial intelligence (AI) in economics, a classification of AI technologies, an analysis of their impact on key regional indicators, and a comparison of AI implementation practices using statistical data and case studies.
Results<\/strong>. The proposed framework for integrating AI into regional economic management systems can be used as a methodological basis for designing similar institutions in the constituent entities of the Russian Federation. The developed classifications of AI types and the identified paths for adapting them to the design of regional management systems are of practical value.
Conclusions<\/strong>. Based on the conducted study, it can be concluded that artificial intelligence is becoming a key tool for improving the effectiveness of regional economic management, providing a qualitatively new level of analysis, forecasting, and decision-making. The implementation of AI contributes to the optimization of resource allocation, improved coordination between industries, and increased transparency and the validity of management actions. The proposed model of a regional AI center and approaches to integrating industry-specific intelligent systems demonstrate the potential for developing a comprehensive digital governance infrastructure. However, AI development requires addressing a number of technological, institutional, and ethical challenges, including data standardization, security, personnel training, and the development of a regulatory framework. Thus, artificial intelligence has the potential to become a systemic factor in sustainable regional development, provided a comprehensive approach to its implementation is adopted.<\/p>\n\n\n\n

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Keywords<\/strong>:<\/em> <\/strong>regional systems, regional governance, artificial intelligence (AI), digitalization, informatization, research<\/p>\n\n\n\n

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For citation<\/strong>.<\/strong> Zhangorazova Zh.S., Bakkuev E.S., Gazaeva M.Sh., Kilov A.O. Integration of artificial intelligence technologies into regional governance systems: principles, models, and development directions. News of the KabardinoBalkarian Scientific Center of RAS<\/em>. 2025. Vol. 27. No. 6. Pp. 287\u2013299. DOI: 10.35330\/1991-6639-2025-27-6-287-299<\/p>\n\n\n\n

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R<\/strong>eferences<\/summary>\n
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  1. Asmanov P.R., Sabanchiev A.Kh. Objective foundations and strategic features of informatization and intellectualization of regional economic systems: the practice of using AI in regional development management. Regional Problems of Economic Transformation.<\/em> 2024. No. 10. (In Russian)<\/li>\n\n\n\n
  2. Bizengin B. et al. Formation of the fifth technological order in agriculture of the Kabardino-Balkarian Republic: features, main elements, and trends. Agrarian Bulletin of the
    Urals.<\/em> 2019. No. 8. Pp. 55\u201364. (In Russian)<\/li>\n\n\n\n
  3. Broussard M. Iskusstvennyy intellekt. Predely vozmozhnogo<\/em> [Artificial intelligence. The limits of the possible]. Moscow: Alpina Non-Fiction, 2020. 362 p. (In Russian)<\/li>\n\n\n\n
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  5. Bootle R. Artificial intelligence and the economy. Work, wealth, and welfare in the age of the robot. Moscow: Intellektual’naya Literatura, 2022. 432 p. (In Russian)<\/li>\n\n\n\n
  6. Devyatkov V.V. Sistemy iskusstvennogo intellekta<\/em> [Artificial intelligence systems] \/ Ed. I.B. Fedorov. Moscow: Izd-vo MGTU im. N.E. Baumana, 2001. 352 p. (In Russian)<\/li>\n\n\n\n
  7. Brynjolfsson E., McAfee E. The Second machine age: work, progress and prosperity in the age of new technologies: trans. from English. M.: AST, 2017. 382 p. (In Russian)<\/li>\n\n\n\n
  8. Osipov G. Artificial intelligence: state of research and a look into the future [Electronic resource]. Access mode: http:\/\/www.raai.org\/about\/persons\/osipov\/pages\/ai\/ai.html (date of access: 09.21.2025). (In Russian)<\/li>\n\n\n\n
  9. Bizengin B., Bakkuev E., Eneeva M., Sarbasheva E. Formation of a new model of organizing agriculture in the North Caucasus. Society and Economy. 2025. No. 6. Pp. 76\u201395. (In Russian)<\/li>\n\n\n\n
  10. Zhangorazova Zh.S., Bakkuev E.S., Kokova E.R. Methodological approaches to the analysis of the dynamics of agroeconomic development of a region in the context of digital transformation. Bulletin of the Academy of Knowledge<\/em>. 2020. No. 38(3). Pp. 111\u2013115. (In Russian)<\/li>\n<\/ol>\n<\/details>\n\n\n\n
    Information about the author<\/strong>s<\/summary>\n
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    Zhansurat S. Zhangorazova<\/strong>, Doctor of Economics, Professor, Department of Management, KabardinoBalkarian State Agrarian University named after V.M. Kokov;
    1v, Lenin avenue, Nalchik, 360030, Russia;
    econ_dekanat@rambler.ru, ORCID: https:\/\/orcid.org\/0000-0002-7694-3035, SPIN-code: 7557-7852
    Eldar S. Bakkuev<\/strong>, Doctor of Economics, Professor, Department of Management, KabardinoBalkarian State Agrarian University named after V.M. Kokov;
    1v, Lenin avenue, Nalchik, 360030, Russia;
    bakkuev@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-2175-6619, SPIN-code: 3401-6753
    Madina Sh. Gazaeva<\/strong>, Candidate of Economics, Associate Professor, Department of Management, Kabardino-Balkarian State Agrarian University named after V.M. Kokov;
    1v, Lenin avenue, Nalchik, 360030, Russia;
    mtramova@yahoo.com, ORCID: https:\/\/orcid.org\/0000-0002-8868-4309, SPIN-code: 2030-4444
    Astemir O. Kilov<\/strong>, Postgraduate, Department of Management, Kabardino-Balkarian State Agrarian University named after V.M. Kokov;
    1v, Lenin avenue, Nalchik, 360030, Russia<\/p>\n\n\n\n

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    Integration of artificial intelligence technologies into regional governance systems: principles, models, and development directions Zh.S. Zhangorazova, E.S. Bakkuev, M.Sh. Gazaeva, A.O. Kilov Abstract. Artificial intelligence is becoming an increasingly significant factor in the economic and social development of countries worldwide. The use of artificial intelligence in regional economic governance has a number of specific aspects […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-6083","page","type-page","status-publish","hentry"],"yoast_head":"\n27.6.24 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-6-24-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"27.6.24 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Integration of artificial intelligence technologies into regional governance systems: principles, models, and development directions Zh.S. 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