Institute of Sociology
of the Federal Center of Theoretical and Applied Sociology
of the Russian Academy of Sciences

Trofimova I.N. Challenges of the AI Era: R&D Response of Russian Institutions. Sociology of Science and Technology. 2024. Vol. 15. No. 4. Pp. 108-123.



Trofimova I.N. Challenges of the AI Era: R&D Response of Russian Institutions. Sociology of Science and Technology. 2024. Vol. 15. No. 4. Pp. 108-123.
ISSN 2079-0910
DOI 10.24412/2079-0910-2024-4-108-123

Posted on site: 07.01.24

Текст статьи на сайте Ciberleninra URL: https://cyberleninka.ru/article/n/vyzovy-epohi-iskusstvennogo-intellekta-r-d-otvet-rossiyskih-institutov (дата обращения 07.01.2025)


Abstract

Nowadays, the level of development and implementation of innovative technologies determines the state and prospects of the economy, social sphere, and national security. AI is the most important technological trend in decades. Russia corresponds to it, but its achievements are not yet comparable with the achievements of the leaders, primarily the USA and China. The increase in research and development, patents and scientific publications by authors from different countries indicates fierce global competition. The article examines the performance of Russian research and educational institutions in the field of AI. Particular attention is paid to the winning institutes of the competitive selection of research centers in the field of AI within the framework of the federal project “Artificial Intelligence” of the national program “Digital Economy of the Russian Federation.” The theoretical basis of the study are the concepts of the national innovation system and innovation ecosystem. The key provisions reveal the specifics, content and significance of the inter-relationship between innovation actors. The empirical base consists of information about research and development, patents and scientific publications located in statistical and bibliographic databases. It is shown: 1) the historically determined specifics and dynamics of research and development of AI in the world and in Russia; 2) a significant gap between leading institutes and most institutes in terms of cooperation, number of publications and their share in high-ranking scientific journals; 3) sectoral and spatial (international and regional) asymmetry of cooperation between institutions. It is concluded that the expected effect from the inter-relationship between innovation actors was limited by a number of external and internal factors.