..., which increase compliance costs while obscuring genuinely suspicious activities. Artificial intelligence Money laundering Machine learning AML regulation AML compliance Suspicious activities reporting © 2025 Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use...

... at: ns.andriychenko@yur.sumdu.edu.ua © 2025 Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence Machine learning Bank Financial monitoring Suspicious transactions Money laundering Money laundering is a critical source of illicit...

... of money laundering concepts, issues and techniques of AML. The review articles are on the techniques of AML, such as machine learning, data mining, graph networks and artificial intelligence, which are applied to detect and prevent money laundering issues. Originality/value Money laundering, being...

.../approach This research is a literature review from various research sources originating from Pro-Quest, Emerald, Science Direct and Google Scholar. Findings The researchers found that the most widely used methods for detecting money laundering were artificial intelligence, machine learning, data...

...Emmanuel Hayble-Gomes Purpose The purpose of this study is to explore and use artificial intelligence (AI) techniques for identifying the relevant attributes necessary to file a suspicious activity report (SAR) using historical customer transactions. This method is known as predictive modeling...

... a layer of mathematical optimization, financial institutions can additionally save few million dollars, without compromising on their STR capture capability. This hopefully will go a long way in leveraging artificial intelligence for further making financial institutions more efficient in controlling...

... crime. Artificial intelligence has had a major impact on organisations from Banking through to Law Firms. The rate at which technology has developed in terms of tasks that are complex, technical and time-consuming has been astounding. The purpose of this paper is to explore the solutions...

... methodology for monitoring and identifying the behavior of different ML patterns with machine learning techniques and network science methodologies. These methodologies complement legal structure and regulatory framework. Money laundering Artificial intelligence Software architecture Financial crime...