Integración de la inteligencia artificial en la gestión de riesgos del sector bancario

Abstract

Incorporating artificial intelligence into risk management within the banking sector is a fundamental tool for monitoring and determining potential losses generated by financial operations, which could compromise their sustainability, profitability, and continuity. This study aims to investigate how artificial intelligence has been integrated into the risk management of the banking sector. The research method used for the theoretical support of the study is a qualitative approach, descriptive scope, and bibliographic design through the study analysis of 110 articles using the PRISMA methodology. It was found that one of the sectors that has experienced the most notable advances due to artificial intelligence is the banking sector. Through this technology, methods are applied to anticipate crucial aspects such as credit, market, operational, and fraud risks. These analytical approaches process information adaptably without establishing predefined relationships between the categories studied, which is essential to obtain impartial data that reinforces the accuracy of the results. These advancements contribute to optimizing the effectiveness of decisions made in managing financial operations. However, it is essential not to neglect the importance of having trained personnel and guaranteeing ethics in data collection, protection, and transparent disclosure. Keywords: Risk management, artificial intelligence, financial institutions, decision-making.