Мониторинг разработки и применения технологий искусственного интеллекта: основные методологические подходы

Вопросы статистики. 2025. Т. 32. № 5. С. 7–17.

Abashkin V., Sakhno M., Abdrakhmanova G.

The article presents methodological approaches to organizing and conducting comprehensive statistical monitoring of the development and application of artificial intelligence (AI) technologies. The relevance of this topic is driven by the high significance of AI technologies for the economy and society, and their recognition as one of the leading technologies of the current decade, both globally and in Russia. A comprehensive assessment of AI development requires a robust and well-developed research methodology. Based on the analysis of existing approaches to AI observation, including research topics in this field, available data sources, and data collection methods used in international and domestic practices, the study has developed a terminological framework, classifiers for AI technologies and related goods and services, a conceptual model of monitoring, and a system of indicators. The proposed monitoring approach was tested in 2023–2024 during specialized surveys of organizations and universities. The new AI data collection toolkit has been officially implemented in the federal statistical observation system. According to the authors, the implementation of monitoring will enable the acquisition of quantitative and qualitative characteristics regarding the creation, diffusion, and future prospects of AI technologies across economic sectors and social domains, as well as facilitate the assessment of the effects of their implementation.

Keywords: статистика, statistics, мониторинг, monitoring, system of indicators, система показателей, федеральное статистическое наблюдение, artificial intelligence (AI), federal statistic observation, искусственный интеллект (ИИ)

Publication based on the results of: Monitoring of artificial intelligence technologies and digital transformation of economy and society (2025)