Novel AI Methods for Credit Risk Management in Banks

EasyChair Preprint 14309

Abstract

In the rapidly evolving financial sector, the management of credit risk remains a critical challenge for banks. Traditional methods, while effective, are increasingly being supplemented and sometimes replaced by novel artificial intelligence (AI) techniques. This article explores the innovative applications of AI in credit risk management, highlighting their advantages, challenges, and future potential. By leveraging machine learning, natural language processing, and predictive analytics, banks can enhance their ability to assess and manage credit risk, leading to more robust financial stability and better decision-making processes.

Keyphrases: Artificial Intelligence, Banking, Credit Risk Management, Predictive Analytics, financial stability, machine learning, risk assessment

@booklet{EasyChair:14309,
  author    = {Kayode Sheriffdeen},
  title     = {Novel AI Methods for Credit Risk Management in Banks},
  howpublished = {EasyChair Preprint 14309},
  year      = {EasyChair, 2024}}