The Use of Artificial Intelligence in Anti-Corruption Expertise of Quality Management of Normative Legal Acts

The article considers the quality management system of legislation in the Russian Federation, defines its basic elements, the main tools for quality control (management) in the form of legal examinations, and proposes a general simple classification of the controlled factors in legal examinations. As an example for conducting quality control of legislation, the authors choose the most important legal expertise called anti-corruption examination (ACE). Within the framework of general trends in automation, informatization, and digitalization, the paper considers the use of artificial intelligence (AI) for the purposes of conducting ACE, which, in some cases of “routine work”, could provide all possible assistance to specialists in the field of legal expertises and their digitalization. In this regard, a step-by-step algorithm for pre-training AI is formulated using examples from regulatory legal acts (RLA) containing corruption factors (CF); a classification of CF is carried out; a scale of AI errors in detecting CF is developed; frequency characteristics of AI errors are determined; preliminary conclusions are obtained on the possibility of using AI in ACE.