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

Financial institutions use AI to detect and prevent billions of dollars of fraud each year in areas including account takeover, check fraud, identity theft, money laundering, and terrorist financing, ...

First, we aim to "detect" accounting fraud and confirm an improvement in detection performance. We achieve this by using machine learning, which allows high-dimensional feature space, compared with a ...

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 ...