+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
National Interests: Priorities and Security
 

Introduction of artificial intelligence into the activities of government authorities of the Russian Federation: An empirical analysis of barriers and prospects

ISSUE 8, AUGUST 2026

PDF  Article PDF Version

Received: 27 March 2026

Accepted: 28 April 2026

Available online: 27 August 2026

Subject Heading: ECONOMIC POLICY OF THE STATE

JEL Classification: K20, L86, O38

Pages: 24-38

https://doi.org/10.24891/ypsddz

Andrei I. LADYNIN Corresponding author, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation
adynin-ai@ranepa.ru

https://orcid.org/0000-0001-7659-2581

Dmitrii N. LAPAEV Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation
apaev-dn@ranepa.ru

https://orcid.org/0000-0002-9352-4449

Nataliya N. KARPUKHINA Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation
karpukhina-na@ranepa.ru

https://orcid.org/0000-0003-3378-5230

Marina V. PROKHOROVA Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation
prokhorova-mav@ranepa.ru

https://orcid.org/0000-0003-0503-6494

Subject. This article discusses the processes of introducing artificial intelligence technologies into the activities of the Russian State authorities.
Objectives. The study aims to assess the current state of the artificial intelligence use in the public sector, identify key barriers to their implementation, and determine their specifics for organizations at various stages of digital transformation.
Methods. For the study, we used the method of questionnaire survey of respondents and correlation analysis.
Results. The article identifies three most significant barriers to the introduction of artificial intelligence into the public authorities activities, and reveals the differentiation of problems depending on the stage of implementation. The results obtained can help in the differentiated measures of State support development, and in the adjustment of digital transformation strategies in the public sector.
Conclusions. The current stage of AI implementation in the public sector is heterogeneous, and the barriers hindering development are fundamentally different for organizations at different stages of digital maturity. An effective policy to encourage the introduction of AI should take into account these specifics and provide targeted support measures for each group of organizations.

Keywords: artificial intelligence, public administration, implementation barriers, correlation analysis, digital transformation

References:

  1. Potapenkova I.V., Yarmonova E.N. [Problems of managerial decision-making using artificial intelligence in public relations, which are the sphere of public administration]. Vestnik Voronezhskogo instituta MVD Rossii, 2023, no. 4, pp. 301–304. (In Russ.) URL: Link
  2. Steshenko I.V. [Artificial intelligence in solving problems of state management of the monetary system]. Finansovyi menedzhment, 2025, no. 5, pp. 319–323. (In Russ.) DOI: 10.25806/fm-52025
  3. Lukovnikov N.V., Mingaleva Zh.A. [The role of artificial intelligence in improving the system for management of holdings and complex integrated structures]. Sotsial'nye i ekonomicheskie sistemy, 2023, no. 5-2, pp. 129–142. (In Russ.) EDN: DAUNEZ
  4. Zhang J. [Optimizing management in Chinese industry: Integrating artificial intelligence and data management]. Innovatsii i investitsii, 2025, no. 3, pp. 108–111. (In Russ.) EDN: IBCJLH
  5. Mityunin V.M. [Artificial intelligence as a project management tool in the construction industry of the Russian Federation]. Modern Economy Success, 2024, no. 6, pp. 214–219. (In Russ.) DOI: 10.58224/2500-3747-2024-6-214-219 EDN: IVQMNW
  6. Dorogovtseva A.A., Ovcharenko N.K. [Artificial intelligence in the corporate management system: Evolution, innovation and prospects]. Ekonomika, predprinimatel'stvo i pravo, 2024, vol. 14, iss. 11, pp. 6259–6272. (In Russ.) DOI: 10.18334/epp.14.11.121944 EDN: KQRQVX
  7. Dmitrieva N.V. [Prospects for the development of artificial intelligence in management]. Ekonomika i predprinimatel'stvo, 2025, no. 3, pp. 1077–1079. (In Russ.) DOI: 10.34925/EIP.2025.176.3.193 EDN: STSLQB
  8. Frolikov A.V., Trubin A.E., Aleksakhin A.N. et al. [Prospects and risks of using AI technology in corporate management]. Vestnik Rossiiskogo ekonomicheskogo universiteta imeni G.V. Plekhanova, 2025, vol. 22, iss. 1, pp. 198–208. (In Russ.) DOI: 10.21686/2413-2829-2025-1-198-208 EDN: DLQPVC
  9. Muminova S.R. [Artificial intelligence as a tool for public management in tourism]. Srednerusskii vestnik obshchestvennykh nauk, 2022, vol. 17, iss. 5, pp. 172–182. (In Russ.) DOI: 10.22394/2071-2367-2022-17-5-172-182 EDN: LREUNA
  10. Andriyanov A.M., Barbakov O.M., Konev Yu.M. [Artificial intelligence subjectivity in the implementation of public administration: The cybernetic aspect]. Izvestiya vysshikh uchebnykh zavedenii. Sotsiologiya. Ekonomika. Politika, 2025, vol. 18, iss. 4, pp. 7–22. (In Russ.) DOI: 10.31660/1993-1824-2025-4-7-22 EDN: JDLFLA
  11. Dudikhin V.V., Shevtsova I.V. [Smart management using artificial intelligence]. Gosudarstvennoe upravlenie. Elektronnyi vestnik, 2020, no. 81, pp. 49–65. (In Russ.) DOI: 10.24411/2070-1381-2019-10078 EDN: ADZAXT
  12. Khatuev D.I., Magomadov R.A.M. [Using artificial intelligence to control micropower grids in remote regions]. Ekonomika i upravlenie: problemy, resheniya, 2024, vol. 12, iss. 11, pp. 72–79. (In Russ.) DOI: 10.36871/ek.up.p.r.2024.11.12.008 EDN: FUWFRW
  13. Sadkovskaya N.E., Lyapichev N.A., Dorofeeva L.O. [Artificial intelligence and the quality of public administration]. Naukoemkie tekhnologii, 2022, vol. 23, iss. 8, pp. 54–59. (In Russ.) DOI: 10.18127/j19998465-202208-06 EDN: MQMKCT
  14. Borisova O.V., Doronina T.V. [Application of artificial intelligence technologies in State and municipal management]. Vestnik GGU, 2021, no. 5, pp. 59–66. (In Russ.) EDN: WNOZAO
  15. Morunova G.V., Silakova L.V., Zadneprovskii A.A. et al. [Introduction of artificial intelligence into public finance and business management as a factor of sustainable development of territories]. Nalogi. Pravo, 2025, vol. 18, iss. № 4, pp. 57–70. (In Russ.) DOI: 10.26794/1999-849X-2025-18-4-57-70 EDN: ZJLCDK
  16. Davydova Yu.A., Matyukhin A.V., Anan'evskaya E.A. [Artificial intelligence in political management: Trends and prospects]. Zhurnal politicheskikh issledovanii, 2023, vol. 7, iss. 4, pp. 100–113. (In Russ.) DOI: 10.12737/2587-6295-2023-7-4-100-113 EDN: CTDXTA
  17. Makarova O.N., Martynenko O.V., Poleshchuk S.M. [Use of artificial intelligence technologies in organizational management]. Nauchnyi zhurnal NIU ITMO. Seriya: Ekonomika i ekologicheskii menedzhment, 2025, no. 3, pp. 66–75. (In Russ.) DOI: 10.17586/2310-1172-2025-18-3-66-75 EDN: ELYWRA
  18. Lips M. Digital transformation in the public sector. Cheltenham, Edward Elgar Publishing, 2024, 210 p. DOI: 10.4337/9781803923895.00010
  19. Allen J., Loo J., Luna J. Governing intelligence: Singapore's evolving AI governance framework. Cambridge Forum on AI: Law and Governance, 2025, no. 1, pp. 1–12. DOI: 10.1017/cfl.2024.12
  20. Androniceanu A., Georgescu I. E-Government in European Countries, a Comparative Approach Using the Principal Components Analysis. NISPAcee Journal of Public Administration and Policy, 2021, vol. 14, iss. 2, pp. 45–68. DOI: 10.2478/nispa-2021-0015
  21. Madan R., Ashok M. AI adoption and diffusion in public administration: A systematic literature review and future research agenda. Government Information Quarterly, 2023, vol. 40, iss. 1. DOI: 10.1016/j.giq.2022.101774
  22. Zuiderwijk A., Chen Y.-C., Salem F. Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 2021, vol. 38, iss. 3. DOI: 10.1016/j.giq.2021.101577

View all articles of issue

 

ISSN 2311-875X (Online)
ISSN 2073-2872 (Print)

Journal current issue

ISSUE 8
AUGUST 2026

Archive

Видите ошибку в отчестве? Отключите перевод, это английская версия сайта!