Methodological and practical aspects of the application of artificial intelligence technologies in the system of state financial control-Reference-Cited by-同舟云学术

Methodological and practical aspects of the application of artificial intelligence technologies in the system of state financial control

Published:2024-05-31 Issue:1 Volume: Page:73-80
ISSN:1993-4386
Container-title:Siberian Financial School
language:
Short-container-title:jour

Author:

Vyzhitovich A. M.¹^ORCID,Borovskikh D. V.²,Kraeva V. Yu.²

Affiliation:

1. Siberian Institute of Management – branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation; Novosibirsk State University of Economics and Management; Institute of Economics and Industrial Production Organization SB RAS

2. Siberian Institute of Management – branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation

Abstract

The article analyzes the use of artificial intelligence technologies in the system of state financial control. The authors present the main directions for the development of artificial intelligence, in particular its application in the system of government control. Also, the possibilities of expanding the areas of application of artificial intelligence in state financial control are being considered in order to increase the efficiency of the country’s economic security. The authors believe that the use of artificial intelligence will speed up inspections, and in the future there will be an intensification of the activities of state financial control bodies. The scientific novelty of the article lies in the fact that it examines the need to use artificial intelligence technology in the system of state financial control, and also analyzes the trend in the development of artificial intelligence in order to effectively ensure the economic security of the Russian Federation through state control bodies.

Publisher

Novosibirsk State University of Economics and Management - NSUEM

Reference11 articles.

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