July 16, 2025

How AI Detects Financial Fraud: A Review of Emerging Deep Learning Methods

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MAIN FINDING: AI methodologies significantly enhance financial fraud detection through deep learning techniques.
KEY EVIDENCE: Empirical assessments reveal better F1-scores and precision using retrieval-augmented generation compared to traditional models.
APPROACH: The review explores supervised and unsupervised learning methods, focusing on deep neural networks and transformers.
SIGNIFICANCE: These findings offer insights into developing effective fraud detection systems in diverse financial sectors.

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Implication

This review discusses AI approaches for financial fraud detection using deep learning methods, highlighting the impact of retrieval-augmented generation.

Cite This Study

Masaaki Mori (2025) studied this question.

synapsesocial.com/papers/689a02c9e6551bb0af8ccd38 https://doi.org/10.31219/osf.io/5yjm4_v1

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Implication

This review discusses AI approaches for financial fraud detection using deep learning methods, highlighting the impact of retrieval-augmented generation.

How AI Detects Financial Fraud: A Review of Emerging Deep Learning Methods

Key Points

Discussion

Implication

Cite This Study

How AI Detects Financial Fraud: A Review of Emerging Deep Learning Methods

Key Points

Discussion

Implication

Cite This Study

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