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This paper explores the role of AI in enhancing financial risk prediction and fraud detection in banking systems.

May 4, 2026Open Access

Artificial Intelligence Driven Financial Risk Prediction and Fraud Detection in Modern Banking Systems

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This paper explores the role of AI in enhancing financial risk prediction and fraud detection in banking systems.
Review of applications of artificial intelligence techniques such as machine learning, deep learning, and ensemble methods.
Analysis of literature regarding the effectiveness and challenges of AI in banking.
Evaluation of improvements in detection accuracy and reduction in false positives.
AI systems significantly enhance detection accuracy and outperform traditional methods.
Improvements in real-time identification of risks and fraudulent activities were noted.
Challenges including model explainability, data privacy, and regulatory compliance were identified.

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Review synthesizes applications of AI in financial risk management and fraud detection, highlighting achievements and challenges.

Gulsanam Kimsanova (2026) studied this question.

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