Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping
Author:
Affiliation:
1. Department of Accounting & Information Systems, College of Business & Economics, Qatar University, Doha, Qatar
2. Department of Computer Science, University of Swabi, KPK, Pakistan
Funder
Qatar National Library
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2344415
Reference122 articles.
1. Al Hammadi, A., I. A. Zualkernan, and R. Ahmed. 2007. Impediments to adoption of e-Learning technology in combating anti-money laundering in UAE banks. Paper read at Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), Niigata, Japan.
2. Investigation of applying machine learning for watch-list filtering in anti-money laundering;Alkhalili M.;Institute of Electrical and Electronics Engineers Access,2021
3. Money laundering in selected emerging economies: Is there a role for banks?;Alnasser Mohammed S. A. S.;Journal of Money Laundering Control,2021
4. Money laundering and banking secrecy in the Jordanian legislation;Al-Nuemat A. A.;Journal Information and Communications Technology,2013
5. Al-Rashidi K. S. 2021. Indirect method of proof’and the Kuwaiti anti-money laundering law: a lesson from the UK. Paper read at Criminal Law Forum.
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