How machine learning combats financial cybercrime

“One of the challenges with anomaly detection, especially when using deep learning techniques, is that it’s sometimes difficult to understand why certain transactions or companies were singled out as suspicious. Strictly speaking, the machine simply yields groupings and anomalies, hence requiring a human specialist to interpret the results. But what if an AI could tell us not only what the anomalies are, but also why they were classified as such? This emerging discipline is called explainable AI (XAI).”

https://www.google.com/amp/s/bdtechtalks.com/2020/06/21/machine-learning-financial-cybercrime/amp/

Leave a Reply