Explainable Artificial Intelligence (XAI) in the Banking Sector: A Review of Techniques for Transparent Credit, Fraud and Compliance Decisions
Banks use complex machine learning models such as neural networks, random forests and gradient boosting for credit scoring, loan approval, fraud detection, risk assessment and anti-money laundering, and many operate as black boxes.