Artificial intelligence in Russia. History, status, trends and limitations
https://doi.org/10.28995/2782-2222-2024-1-56-69
Abstract
A new stage in the introduction of artificial intelligence into everyday life in Russia will be the mass introduction of its technologies and products based on it into the public administration system and the government sector. Today, AI is used in most spheres of public life, but its level of development is still not high enough. In that regard, the issues considered in the publication are modern and relevant and can be used at the stages of development and use of AI. The authors clarified the definition of “artificial intelligence, analyzed the directions of AI development and identified promising areas of the most accelerated technological development of intelligent systems: generative, voice and language, explicable and peripheral AI with characteristics of the stages up to the present.
The article presents results of a brief analysis of the state and plans for the development of AI in Russia. The level of AI implementation in economic sectors reaches 20% and that is not enough to ensure accelerated economic growth. It is assumed that the introduction of AI should provide an additional 1.2% increase in global GDP by 2030, and our country plans to gain more than 11 trillion rubles from its use by 2025. The future of artificial intelligence in Russia was determined by the President of the country at the St. Petersburg International Forum (PEMF-2023). The announced directions will make it possible to unlock the potential of AI more widely and ensure its mass implementation for the formation of Russia’s sovereignty.
About the Authors
O. M. MakhalinaRussian Federation
Oksana M. Makhalina, Dr. of Sci. (Economics)
bld. 99, Ryazanskii Avenue, Moscow, Russia, 109542
V. N. Makhalin
Russian Federation
Viktor N. Makhalin, Cand. of Sci. (Economics)
bld. 99, Ryazanskii Avenue, Moscow, Russia, 109542
References
1. Abdullaev, E.A. (2023), “Artificial intelligence. Current achievements and prospects”, Young scientist, no. 33 (480), pp. 9–10, available at: https://moluch.ru/ archive/480/105512/ (Accessed 2 November 2023).
2. Bakhteev, D.V. (2023), “Prerequisites for the formation and stages of development of artificial intelligence technology”, Genesis: historical research, no. 8, pp. 89–98, DOI: 10.25136/2409-868X.2019.8.30382, available at: https://nbpublish.com/ library_read_article.php?id=30382 (Accessed 1 November 2023).
3. Ivanovskii, B.G. (2021), “Economic effects from the introduction of ‘artificial intelligence’ technologies”, Social innovations and social sciences, no. 2, pp. 8–25.
4. Karpov, V.E. (2022), “Bioinspired models of behavior. Systemic crisis or new horizons?”, Integrirovannye modeli i myagkie vychisleniya v iskusstvennom intellekte: Sbornik nauchnykh trudov XI Mezhdunar. nauchno-praktich. konf. (IMMV-2022, Kolomna, 16–19 maya 2022 g.) [Integrated models and soft computing in artificial intelligence, Collection of scientific papers of the XI International Scientific and Practical Conference (IMMV-2022, Kolomna, May 16–19, 2022)], in 2 vols., vol. 1, RAII, Moscow, Russia, pp. 25–36.
5. Kobrinsky, B.A. (2022), “Integrated and hybrid systems of artificial intelligence: methodological problems and issues of terminology”, Integrirovannye modeli i myagkie vychisleniya v iskusstvennom intellekte: Sbornik nauchnykh trudov XI Mezhdunar. nauchno-praktich. konf. (IMMV-2022, Kolomna, 16–19 maya 2022 g.) [Integrated models and soft computing in artificial intelligence, Collection of scientific papers of the XI International Scientific and Practical Conference (IMMV-2022, Kolomna, May 16–19, 2022)], in 2 vols., vol. 1, RAII, Moscow, Russia, pp. 37–46.
6. Ladosha, E.N. and Kostrub, M.I. (2022), “Artifi intelligence: the potential of development on the way of creating new digital art”, Young scientist, no. 48 (443), pp. 1–4. Available at: https://moluch.ru/archive/443/97204 / (Accessed 2 November 2023).
7. Malinetsky, G.G., Voitsekhovich, V.E. and Smolin, V.S. (2022), “Analysis of the approaches to build strong artificial intelligence based on computer science and information systems: creationism and evolution”, Digital Economy, no. 55 (21), pp. 79–90.
8. Ostroukh, A.V. (2020), Vvedenie v iskusstvennyi intellekt [Introduction to artificial intelligence], monograph, Nauchno-innovatsionnyi tsentr, Krasnoyarsk, Russia.
9. Raikov, A.N. (2020), “Weak vs Strong artificial intelligence”, Informatization and communication, no. 1, pp. 81–88.
10. Shcherbakov, M.G. (2019), “Legal prohibitions and limitations in artificial intelligence research”, Bulletin of the Kazan Law Institute of the MIA of Russia, vol. 10, no. 4, pp. 436–441, DOI: 10.24420/KUI.2019.80.51.004.
Review
For citations:
Makhalina O.M., Makhalin V.N. Artificial intelligence in Russia. History, status, trends and limitations. Science and art of management. 2024;(1):56-69. (In Russ.) https://doi.org/10.28995/2782-2222-2024-1-56-69