Computer ScienceBusiness
Jingguang Han, Yuyun Huang, Shaofeng Liu, Kieran Towey
2020.6.25Digital Finance
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.