THE CONTEMPORARY TRENDS AND STRATEGIC TARGETS OF ARTIFICIAL INTELLIGENCE DEVELOPMENT IN THE RUSSIAN FEDERATION
Abstract and keywords
Abstract (English):
The paper describes the features of modern trends in the development of artificial intelligence as one of the most important mechanisms for the formation of information society in the Russian Federation. The planned strategic targets in the field of artificial intelligence until 2030 are assessed in terms of their achievability and the scale. The principal difference between models of intellectual decision support and other artificial intelligence technologies is presented. The most significant expected changes of intellectual decision support technologies in the management of organizational systems are determined.

Keywords:
artificial intelligence, national strategy, intelligent decision support, management, organizational systems
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References

1. Thormundsson B. Artificial intelligence (AI) market size worldwide from 2020 to 2030. URL: https://www-statista-com.translate.goog/statistics/1365145/artificial-intelligence-market-size/?_x_tr_sl=en&_x_tr_tl=ru&_x_tr_hl=ru&_x_tr_pto=wapp (date of access 29.04.2024)

2. Baldwin L. UK ranks fourth in Global AI index URL: https://www-government--transformation-com.translate.goog/en/citizen-experience/uk-ranks-fourth-in-global-ai-index?_x_tr_sl=en&_x_tr_tl=ru&_x_tr_hl=ru&_x_tr_pto=wapp (date of access 29.04.2024)

3. Aldane J. East Asian governments surge in AI readiness URL: https://www-globalgovernmentforum-com.translate.goog/east-asian-governments-surge-in-ai-readiness-see-global-rankings-in-full/?_x_tr_sl=en&_x_tr_tl=ru&_x_tr_hl=ru&_x_tr_pto=wapp (date of access 29.04.2024)

4. Artificial Intelligence Index Report, Stanford. URL: https://ai.gov.ru/knowledgebase/infrastruktura-ii/2023_otchet_ob_indekse_ii_artificial_intelligence_index_report_stanford/ (date of access 29.04.2024)

5. Soori M., Arezoo B., Dastres R. Artificial intelligence, machine learning and deep learning in advanced robotics, a review // Cognitive Robotics. 2023. Vol. 3. P. 54-70. DOI https://doi.org/10.1016/j.cogr.2023.04.001

6. Cadenas C. Science and the new age of AI. URL: https://www-nature-com.translate.goog/immersive/d41586-023-03017-2/index.html?error=cookies_not_supported&code=09899e3c-4648-4857-aaee-1a980be8bb83&_x_tr_sl=en&_x_tr_tl=ru&_x_tr_hl=ru&_x_tr_pto=wapp (date of access 29.04.2024)

7. Transcripts of the plenary session of the conference “Journey into the world of artificial intelligence”. 24.11.2023. URL: http://www.kremlin.ru/events/president/transcripts/72811 (29.04.2024)

8. Cardillo A. How Many Companies Use AI? (New Data) 2023. URL: https://explodingtopics-com.translate.goog/blog/companies-using-ai?_x_tr_sl=en&_x_tr_tl=ru&_x_tr_hl=ru&_x_tr_pto=wapp&_x_tr_hist=true (date of access 29.04.2024)

9. Decree of the President of the Russian Federation dated October 10, 2019 No. 490 (as amended on February 15, 2024) “On the development of artificial intelligence in the Russian Federation” (together with the “National Strategy for the Development of Artificial Intelligence for the period until 2030”) URL: https://www.consultant.ru/document/cons_doc_LAW_335184/ (date of access 29.04.2024)

10. Meeting of the Council for Strategic Development and National Projects. Transcript. 21.12.2023. URL: http://www.kremlin.ru/events/councils/by-council/1029/73083 (date of access 29.04.2024)

11. Gorsky V. Decision support system as a new frontier for business and programmers. IBS. 2023. URL: https://habr.com/ru/companies/ibs/articles/759482/ (date of access 29.04.2024)

12. Chelidze D. Artificial intelligence and digital advisors. Part 2: how does it work and what’s wrong? 2023. URL: https://www.chelidze-d.com/post/dss-2 (date of access 29.04.2024)

13. Antipova S. A. Labets V. V., Filyaev M. P. Conceptual basis for the use of artificial intelligence technologies in the logistics system of the Armed Forces of the Russian Federation // Military thought. 2023. No 7. P. 100-112. EDN MNOKUM.

14. Fedyushkin A.V., Razikov V.N. Model of a decision support system for managing the educational activities of a university // Scientific reserve. 2023. No 2 (22). P. 65-72. EDN JBFCIF.

15. Maksimov A. V. Decision support methods in emergency management: a review of research // National Security and Strategic Planning. 2023. No 2(42). P. 91-102. DOIhttps://doi.org/10.37468/2307-1400-2023-2-91-102. EDN CJCPWN.

16. Bogdanova E. M., Matveev A. V. Formalization of the model of intellectual supportfor decision-making in response to emergency in transport // Scientific and analytical journal "Bulletin of St. Petersburg University of the State Fire Service of the Ministry of Emergency Situations of Russia". 2021. No 2. P. 100-107. EDN XFPPAA.

17. Yamashkin S. A. Management in organizational systems based on spatial data: geoportal approach // Modern science-intensive technologies. 2023. No 3. P. 57-61. DOIhttps://doi.org/10.17513/snt.39556. EDN BMKKZB.

18. Afanasyev M. A. Profitability of DSS functioning with a decision-making subsystem of unmanned technologies // Scientific works of the Free Economic Society of Russia. 2023. Vol. 241, No 3. P. 251-261. DOIhttps://doi.org/10.38197/2072-2060-2023-241-3-251-261. EDN LWDQVF.

19. Kotkova E. A., Matveev A. V. Framework of the intelligent evacuation control system // Scientific and analytical journal "Bulletin of St. Petersburg University of the State Fire Service of the Ministry of Emergency Situations of Russia". 2024. No 2. P. 62-69. DOIhttps://doi.org/10.61260/2218-130X-2024-2-62-69. EDN VINYXR.

20. González-Villa J. et al. Decision-support system for safety and security assessment and management in smart cities // Multimedia Tools and Applications. 2024. V. 83. No 22. P. 61971-61994. DOI https://doi.org/10.1007/s11042-023-16020-6

21. Shmytkina E. M. The architecture of the decision support system for response to transport emergencies // National Security and Strategic Planning. 2023. No 4(44). P. 68-77. DOIhttps://doi.org/10.37468/2307-1400-2024-2023-4-68-77. EDN GAYIOA.

22. Maksimov A. V., Matveev A. V. Perspectives on the use of collective knowledge in emergency response // Scientific and analytical journal "Bulletin of St. Petersburg University of the State Fire Service of the Ministry of Emergency Situations of Russia". 2019. No 4. P. 89-97. EDN QPBTLA.

23. Sorokin A. A. et al. Information processing for a decision support system for fire monitoring of forests // News of Saratov University. Series mathematics, mechanics, computer science. 2023. Vol. 23. No 1. P. 126-138. DOIhttps://doi.org/10.18500/1816-9791-2023-23-1-126-138. EDN PCOXKQ.

24. Branch E. Decision Support Systems: Advancing Effective Strategic Choices. URL: https://www-iienstitu-com.translate.goog/en/blog/decision-support-systems-advancing-effective-strategic-choices?_x_tr_sl=en&_x_tr_tl=ru&_x_tr_hl=ru&_x_tr_pto=wapp&_x_tr_hist=true (date of access 29.04.2024)

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