Comparative study of deep learning explainability and causal ai for fraud detection
Erum Parkar,
Shilpa Gite,
Sashikala Mishra
et al.
Abstract:This study aims to compare deep learning explainability (DLE) with explainable artificial intelligence and causal artificial intelligence (Causal AI) for fraud detection, emphasizing their distinct methodologies and potential to address critical challenges, particularly in finance. An empirical evaluation was conducted using the Bank Account Fraud datasets from NeurIPS 2022. DLE models, including deep learning architectures enhanced with interpretability techniques, were compared against Causal AI models that … Show more
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