Цифровая трансформация регуляторной политики: искусственный интеллект в оценке законодательных норм и правил

PolitBook. 2025. № 3. С. 137–158.

Калямина Д. А., Kirina M.

The article discusses the possibility of optimizing the way in which business entities are informed about legislative changes in the Russian Federation through the application of artificial intelligence (AI). The relevance of the topic is determined by the fact that the legislative process in Russia has shifted from an exclusively administrative and managerial approach to governance towards a model of cooperation between the state, civil society and business, implemented through persuasive communication as a managerial resource for business structures in promoting their interests. A bibliometric analysis conducted using a clustering approach has identified the main themes covered in scientific publications related to the application of AI methods for analyzing regulatory documents. The examples of comprehensive approaches that view the state and business as interconnected entities within a unified communicative framework concerning AI issues are virtually nonexistent. In this regard, there is a need to utilize and develop modern tools for the automated processing of draft of regulatory documents to improve the ways in which business form expert positions, which can be presented through participation in regulatory impact assessments, thereby enhancing the quality of legislative activity. This study proposes a conceptual model for a technological solution aimed at automating the analysis of legislative changes. Furthermore, it is discussed that increasing business awareness of planned regulatory impacts will contribute to improving the business environment, timely adaptation of business processes to new requirements, and reduction of administrative barriers, consequently strengthening the competitiveness of the Russian economy. A key advantage of implementing AI in monitoring and analyzing legislative changes is seen in its potential to enhance the evidentiary basis of decisions, as they are made based on large volumes of data with minimal labor resource involvement.

Keywords: искусственный интеллект, regulatory policy, регуляторная политика, цифровая трансформация, persuasive communication, убеждающая коммуникация, государственно-частное взаимодействие, digital transformation, artificial intelligence, public-private interaction, automation of regulatory analysis, автоматизация регуляторного анализа