Review of artificial intelligence-based applications for money laundering detection
Since studies of pattern recognition for detecting money laundering have overflowed with various outcomes, effective applications of artificial intelligence (AI) for delivering précised outcomes are still emerging. In this paper, we evaluate AI-based approaches for their performance measure (e.g., a...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Intelligent Systems with Applications |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305325000985 |
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| _version_ | 1849228290656567296 |
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| author | Seyedmohammad Mousavian Shah J Miah |
| author_facet | Seyedmohammad Mousavian Shah J Miah |
| author_sort | Seyedmohammad Mousavian |
| collection | DOAJ |
| description | Since studies of pattern recognition for detecting money laundering have overflowed with various outcomes, effective applications of artificial intelligence (AI) for delivering précised outcomes are still emerging. In this paper, we evaluate AI-based approaches for their performance measure (e.g., accuracy), data requirement, processing speed, and cost-effectiveness in detecting money laundering activities, find related gaps, and suggest possible courses of action. Adopting a smart literature review analysis, including PRISMA and a topic modeling technique, this study examines published peer-reviewed and conference articles from 2015 to June 2023. The study identifies dominant topics in the period, concluding that AI-based solutions have increasingly been deployed in detecting money laundering, though they face various challenges in application. It also emphasizes that AI solutions are required to be evaluated to measure their performance before applying to large-scale problem-solving. |
| format | Article |
| id | doaj-art-4a1c4ebc841e40b7bff2d31fc6596031 |
| institution | Kabale University |
| issn | 2667-3053 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Intelligent Systems with Applications |
| spelling | doaj-art-4a1c4ebc841e40b7bff2d31fc65960312025-08-23T04:49:48ZengElsevierIntelligent Systems with Applications2667-30532025-09-012720057210.1016/j.iswa.2025.200572Review of artificial intelligence-based applications for money laundering detectionSeyedmohammad Mousavian0Shah J Miah1Corresponding author at: Newcastle Business School, Hunter St &, Auckland St, Newcastle, NSW 2300, Australia.; Newcastle Business School, The University of Newcastle, New South Wales, AustraliaNewcastle Business School, The University of Newcastle, New South Wales, AustraliaSince studies of pattern recognition for detecting money laundering have overflowed with various outcomes, effective applications of artificial intelligence (AI) for delivering précised outcomes are still emerging. In this paper, we evaluate AI-based approaches for their performance measure (e.g., accuracy), data requirement, processing speed, and cost-effectiveness in detecting money laundering activities, find related gaps, and suggest possible courses of action. Adopting a smart literature review analysis, including PRISMA and a topic modeling technique, this study examines published peer-reviewed and conference articles from 2015 to June 2023. The study identifies dominant topics in the period, concluding that AI-based solutions have increasingly been deployed in detecting money laundering, though they face various challenges in application. It also emphasizes that AI solutions are required to be evaluated to measure their performance before applying to large-scale problem-solving.http://www.sciencedirect.com/science/article/pii/S2667305325000985Artificial intelligenceMoney launderingTopic modelingDetection solutions |
| spellingShingle | Seyedmohammad Mousavian Shah J Miah Review of artificial intelligence-based applications for money laundering detection Intelligent Systems with Applications Artificial intelligence Money laundering Topic modeling Detection solutions |
| title | Review of artificial intelligence-based applications for money laundering detection |
| title_full | Review of artificial intelligence-based applications for money laundering detection |
| title_fullStr | Review of artificial intelligence-based applications for money laundering detection |
| title_full_unstemmed | Review of artificial intelligence-based applications for money laundering detection |
| title_short | Review of artificial intelligence-based applications for money laundering detection |
| title_sort | review of artificial intelligence based applications for money laundering detection |
| topic | Artificial intelligence Money laundering Topic modeling Detection solutions |
| url | http://www.sciencedirect.com/science/article/pii/S2667305325000985 |
| work_keys_str_mv | AT seyedmohammadmousavian reviewofartificialintelligencebasedapplicationsformoneylaunderingdetection AT shahjmiah reviewofartificialintelligencebasedapplicationsformoneylaunderingdetection |