Economic and legal approaches to the humanization of FinTech in the economy of artificial intelligence through the integration of blockchain into ESG Finance

Abstract

The purpose of the article is to study the current experience and prospects of the humanization of FinTech in the economy of artificial intelligence. The research methodology is based on the use of the method of structural equation modeling (SEM). The study analyzes statistics for 2021–2022 (annual indicators). The sample included 118 countries. As a result, the modern international experience of FinTech humanization in the economy of artificial intelligence has been studied and the causal relationships of FinTech humanization in the economy of artificial intelligence through the integration of blockchain into ESG finance have been identified. The article proposes an economic and legal approach to the humanization of FinTech in the economy of artificial intelligence by integrating blockchain into ESG finance to ascertain the economic and political implications. The article contributes to the literature by clarifying the scientific provisions of the concept of the humanization of the economy. The theoretical significance of the obtained results is that the developed model (SEM) and the detailed regression equations have formed a comprehensive understanding of the patterns of humanization of FinTech. The resulting econometric model can be used to predict prospects for the development of blockchain-based ESG finance, as well as high-precision planning of state economic policy. The practical significance of the authors’ conclusions and recommendations is that they have formed a clear idea of modern barriers (“market failures” and “institutional traps”) and prospects (improvement of the institutional environment through the application of an economic and legal approach) to the humanization of FinTech in the economy of artificial intelligence through the integration of blockchain into ESG finance.