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Methodological Problems of Information Development–Analytical Infrastructure for Assessing the State and Forecasting the Sphere of Artificial Intelligence

Abstract
Abstract— The article examines the directions for improving the information and analytical infrastructure in the field of artificial intelligence (AI) and the development of its individual elements. It is proposed to form a comprehensive data collection system capable of providing government bodies business and society with high-quality information about the current and forecast conditions of the object. The need to institutionalize the concept of “artificial intelligence” for the purposes of government monitoring is proven. An analysis of the main parameters of the state of the artificial intelligence market the most relevant from the point of view of modern analysts is given on the basis of which it is concluded that the global AI market has become one of the important factors in GDP growth. Analysis of the AI segment in Russia shows that in the coming years it can reach statistically significant volumes and therefore it is necessary to actively include and expand data on AI in the national information and analytical infrastructure in particular in the state statistical observation system. Recommendations are given regarding the methodological elaboration of the features and specifics of the development of the information infrastructure of AI. The most significant challenges facing this area are discussed: formalization of the definition of AI development of a unified measurement and monitoring infrastructure problems of reflection in statistical accounting adaptation of ex
Authors
L. V. Matraeva E. S. Vasiutina and O. E. Bashina L. V. Matraeva: MIREA Russian Technological University E. S. Vasiutina: MIREA Russian Technological University O. E. Bashina: Moscow Humanitarian University
Keywords
artificial intelligence ; dynamics and forecast of development ; information and analytical infrastructure ; quality and accessibility of statistical data ; government monitoring (search for similar items in EconPapers)
Rank
0.74
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Artificial Intelligence
Series
Studies on Russian Economic Development 2024 vol. 35 issue 1 80-90
Time Added
2024/03/18 03:33
Total Downloads
0
Year Published
2024
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