Computer ScienceBusiness

Jingguang Han, Yuyun Huang, Shaofeng Liu, Kieran Towey

2020.6.25Digital Finance

DOI: 10.1007/s42521-020-00023-1

tlooto Summary

This paper surveys the existing academic literature on artificial intelligence technologies for anti-money laundering and proposes a framework that utilizes advanced natural language processing and deep-learning techniques to facilitate next-generation AML technologies, aiming to decrease the workload for the human investigator.

Abstract

Abstract is not available.

Citation format

HAN, Jingguang, et al. Artificial intelligence for anti-money laundering: A review and extension. Digital Finance, 2020, 2: 211–239.