First results of implementing the national strategy for artificial intelligence development-Reference-Cited by-同舟云学术

First results of implementing the national strategy for artificial intelligence development

Published:2024-03-28 Issue:3 Volume:23 Page:490-511
ISSN:2073-039X
Container-title:Economic Analysis: Theory and Practice
language:
Short-container-title:EATP

Author:

EDRONOVA Valentina N.¹^ORCID

Affiliation:

1. National Research Lobachevsky State University of Nizhny Novgorod (UNN)

Abstract

Subject. The article considers the results of the National Strategy for the Development of Artificial Intelligence implementation, for the period up to 2030. Objectives. The study aims at analyzing the chronology and content of fundamental documents for the development of artificial intelligence in Russia, systematizing open factual data on achieved results, comparing the results with planned and global ones, and comparing the strategic indicators of 2030 with the achieved level. Methods. I employ statistical methods of analysis, like relative comparison indicators, analytical indicators of dynamics series. Legal documents, reviews of analytical centers, and media materials served as information base of the study. Results. The paper shows the chronological sequence of legal documents publication that ensure the implementation of the strategy. Due to the lack of systematized actual quantitative parameters of artificial intelligence, for the purposes of the analysis, the indicators are arranged in groups: research activities, artificial intelligence technology market and business, training of qualified personnel and education. For each group, I analyzed the fulfillment of project tasks, their dynamics, provided a comparative assessment of Russian and foreign results of the development of artificial intelligence, the set parameters for 2030, and the actual indicators already achieved. Conclusions. To further accelerate the development and implementation of artificial intelligence technologies, it is crucial to solve the problem of training highly qualified personnel.

Publisher

Publishing House Finance and Credit

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