Published Article

This study examined risk control and management in the banking sector, investigating the work of artificial intelligence in mitigating risks. The study stated that the banking sector is a cornerstone of the global economy and pivotal in facilitating financial transactions, lending, and investment activities. However, the sector is inherently exposed to numerous risks, including credit risk, market risk, operational risk, and fraud, which can significantly impact its stability and profitability. In the course of carrying out this review, several essential concepts were explored, such as the concept of risk, risk control, management, the banking sector, and artificial intelligence, among others. Furthermore, risk identification and assessment, risk diversification, capital adequacy and liquidity management, and credit risk management, among others, were mentioned as risk control and management techniques in the banking sector. The study further mentioned the roles of AI in mitigating risk in the banking sector to include fraud detection and prevention. The study concluded that the banking sector, which is vital for financial transactions, lending, and investments, faces numerous risks like credit risk, market risk, operational risk, and fraud and that effective risk management is crucial for stability. One of the recommendations was that banks should invest in and integrate advanced AI-driven analytics to proactively detect and mitigate risks.

Keywords: Risk Control and Management, Banking Sector and Artificial Intelligence