Artificial intelligence for anti-money laundering: a review and extension

Jingguang Han, Yuyun Huang, Sha Liu, Kieran Towey
2020 Digital Finance  
This paper surveys the existing academic literature on artificial intelligence (AI) technologies for anti-money laundering (AML). We review the state-of-the-art AI methods for AML and extend the discussion by proposing a framework that utilizes advanced natural language processing and deep-learning techniques to facilitate next-generation AML technologies. Our framework utilizes unstructured external information to assist domain experts, aiming to decrease the workload for the human
more » ... . We bridge the gap between the current AML methods and state-of-the art AI, highlighting new trends and directions in AI that can be used to develop the AML pipeline into a robust, scalable solution with a reduced false positive rate and high adaptability.
doi:10.1007/s42521-020-00023-1 fatcat:kcvdbmmk6bhaxetmidrgxzx3g4