APPROACHES TO MEASURING THE EFFICIENCY OF ARTIFICIAL INTELLIGENCE IN THE BANKING SYSTEM

Abstract

Artificial intelligence (AI) is widely used in the banking system and plays an effective role not only in supporting the speed and accuracy of financial transactions, but also in making managerial decisions. By applying AI, banks manage to reduce operating costs, introduce advanced digital technologies, improve financial and economic indicators, and increase competitiveness in financial markets. In parallel, the integration of AI into the banking management system requires huge financial resources, the involvement of qualified human capital, and the formation of computer neural networks, which raises the problem of assessing the effectiveness of AI.

The article proposes an alternative approach to measuring and evaluating the results of applying AI in the banking system.