Artificial Intelligence as a Means of Rosselhoznadzor: Problems and Prospects

Abstract

Digitalization is actively penetrating into all the spheres of public life, including state governance. New techniques increasingly replace complex, lengthy and expensive product safety evaluation procedures. Artificial intelligence opens up additional opportunities by analysing huge arrays of diverse and unsystematic statistical, scientific, and analytical information. This article consists of five parts. The first part analyses the practice of using based on the artificial intelligence computer models and simulators in regulatory activity in different industries, the second part presents possible directions of the artificial intelligence use to regulate relations in agriculture. The third part demonstrates the advantages and prospects of the computer models and simulators implementation. The fourth part systematizes the main problems arising from the inability to control the process of information analysis with machine-learning tools, uncertainty and inability to ensure the reliability of information sources, reduced transparency and accountability. The fifth part of the article presents the results of the analysis of legal problems connected with the automation of regulatory activity of executive authorities. In the conclusion, the author presents his view according to which in the nearest future the regulatory body will not be able wholly trust the results of computer analysis. The regulatory body and specific officials making managerial decisions are responsible for the validity and legality of the decisions.