THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF SOCIAL ENTREPRENEURSHIP TECHNOLOGIES

This article is devoted to the study of the role of artificial intelligence technologies in the transformation of social entrepreneurship in order to improve the efficiency of resource allocation and optimize management processes. The work develops a comprehensive interdisciplinary methodological model that combines deep learning algorithms, cluster analysis methods, regression and Bayesian approaches for the empirical assessment of socio-economic changes. Particular attention is paid to the synthesis of intelligent systems and traditional analytical methods, which allows creating adaptive models for forecasting and decision support in a dynamically changing social environment. The study demonstrates that the integration of AI not only contributes to the improvement of operational efficiency and the efficiency of social initiative management, but also to the formation of new conceptual models that can take into account a complex of interrelated factors.