The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

The obtained results show, first, that the capacity to detect accounting fraud increases substantially by using the machine learning-based model. Second, a similar improvement in predictive power is ...

Medicare fraud costs $60 billion each year, and government losses range from $233 billion to $521 billion annually, with improper payments totaling $2.7 trillion since 2003. Machine learning plays ...