PROSPECTS FOR THE USE OF DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN CREDIT RISK ASSESSMENT IN COMMERCIAL BANKS

Abstract

The rapid development of digital technologies has fundamentally transformed the operational environment of commercial banks and significantly influenced approaches to credit risk assessment. In recent years, the increasing complexity of financial markets, the growth of digital financial services, and the expansion of customer data have created both opportunities and challenges for banking institutions. Credit risk remains one of the most significant risks faced by commercial banks, as ineffective borrower assessment may result in increased non-performing loans, reduced profitability, and deterioration of financial stability. Consequently, traditional credit assessment methods based primarily on financial statements, collateral evaluation, and historical credit information are becoming insufficient in a highly dynamic and data-driven financial environment [1].