Automation of Anti-Corruption Expertise of Quality Management of Regulatory Legal Acts Using Artificial Intelligence

In this article, we consider the quality management system of legislation in the Russian Federation: we define its basic elements, the main tools for quality control (management) in the form of legal examinations, and propose a general simple classification of controlled factors in legal examinations. As an example for conducting quality control of legislation, we selected the most important legal examination - anti-corruption examination. Anti-corruption examination is aimed at identifying corruption-generating factors in regulatory legal acts, which are defects in norms and legal formulas that contribute to the manifestations of corruption. Corruption-generating factors, as a rule, have their own attributes (indicators) in anti-corruption examinations, allowing them to be identified in the texts of regulatory legal acts. Within the framework of general trends in automation, informatization, and digitalization, we considered the use of artificial intelligence for the purposes of conducting anti-corruption examination, which, in some cases of “routine work”, could provide all possible assistance to specialists in the field of legal examinations and their digitalization. In this regard, a step-by-step algorithm for pre-training artificial intelligence has been formulated using examples from regulatory legal acts containing corruption-generating factors; a classification of corruption-generating factors has been carried out; a scale of artificial intelligence errors in detecting corruption-generating factors has been developed; frequency characteristics of artificial intelligence errors have been determined; preliminary conclusions have been obtained on the possibility of using artificial intelligence in anti-corruption expertise.