Artificial Intelligence in the Control and Supervisory Activities of the State: Current Trends

Abstract

AbstractThe paper aims to determine the place and role of artificial intelligence (AI) in state control and supervisory activities, highlighting current trends in its use in this area of public administration. The methodological apparatus of the research includes traditional quantitative and qualitative methods, particularly the method of classification, expert assessment, comparative method, functional analysis, and analysis of scientific publications and other sources. The research reveals the following trends in the processes of using AI in the implementation of state control and supervision: uneven use of AI for different areas of public administration, as well as certain types of state control and supervision; the need to consider the scope of control and supervision of AI technologies applicable to the discussed areas, the criteria for the functioning of which can be formalized; recognition of the supporting and instrumental role of AI in the implementation of state control and supervision; differentiation of the use of AI at different stages or areas of control and supervisory interaction; and a combination of advantages and risks in using AI in state control and supervisory activities. The research novelty lies in substantiating the place and value of using AI in state control and supervisory activities, which seems to be a poorly studied aspect of research related to the use of information technology to optimize management activities. The proposed conclusions are of practical value for optimizing government control and supervision with artificial intelligence.KeywordsArtificial intelligenceState controlControl and supervision activitiesLegislationPublic administrationSecuritySocial responsibilityJEL ClassificationH110K2L51K230