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Artificial Intelligence and Fraud Detection in US Commercial Banks: Opportunities and Challenges

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AI improves fraud detection accuracy and minimizes financial losses in commercial banks, transforming the sector.
The study evaluates AI methods like machine learning and natural language processing in detecting fraudulent activities real-time.
Challenges include addressing algorithmic bias and ensuring data security, as integrating AI into legacy systems may pose risks.
Adherence to regulatory frameworks also improves as AI enhances predictive analytics, reinforcing compliance measures.

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This analysis reveals AI's potential to enhance fraud detection accuracy in banks, highlighting algorithmic bias and data security concerns.

CHUKWU et al. (2025) studied this question.

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This analysis reveals AI's potential to enhance fraud detection accuracy in banks, highlighting algorithmic bias and data security concerns.