AML models face explainability challenges

Two years after the US Federal Reserve gave its blessing to banks to pursue artificial intelligence-led approaches to combat financial crime, lenders fear the pendulum might be about to swing back the other way.

Banks have found great early success in piloting machine-learning techniques to spot suspicious transactions and identify weaknesses in existing controls, with their power to divine patterns in disparate datasets making them more effective than legacy rules-based systems that find too