Artificial intelligence for anti-money laundering: a review and extension
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Real-world experts' decisions depend on an instance's features and an auxiliary model score shown to them, a common practice in fraud prevention.
“However, this data is extremely useful to evaluate how real-world experts’ decisions depend on an instance’s features as well as an auxiliary model score shown to them, a common practice in fraud prevention21,28.”
From A benchmarking framework and dataset for learning to defer in human-AI decision-making (2025) · cites this paper as [28]
Cites
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
Goodman, B., & Flaxman, S. (2017) · AI Magazine · doi:10.1609/aimag.v38i3.2741 · Cited by 2,131 · see citing works
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A benchmarking framework and dataset for learning to defer in human-AI decision-making
Alves, J. V., Leitão, D., Jesus, S., Sampaio, M. O. P., Liébana, J., Saleiro, P., Figueiredo, M. A. T., & Bizarro, P. (2025) · Scientific Data · doi:10.1038/s41597-025-04664-y · Cited by 10 · see citing works
“However, in real-world settings, due to limitations in human work capacity and legal restrictions, it is common to use an ML model to screen instances, raising alerts that are then reviewed by human experts 1,28 .”
Influential
- Authors
- Han, J., Huang, Y., Liu, S., & Towey, K.
- Affiliations
- Vanke (China) (CN)
- University College Dublin (IE)
- Corresponding author
- Liu, Sha
- Venue
- Digital Finance
- Published
- 2020-06-25
- Volume
- 2
- Issue
- 3-4
- Pages
- 211-239
- ISSN
- 2524-6186 (ISSN-L)
- 2524-6984
- OpenAlex
- W3037180115
- Cited by
- 113
- References
- 1
- Citations by year
- 2026: 10 · 2025: 35 · 2024: 24 · 2023: 35 · 2022: 6 · 2021: 2 · 2020: 1
- FWCI
- 14.68
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Digital Finance (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Enterprise Ireland (IP20170626)
- Topics
- Social Sciences › Sociology and Political Science › Crime, Illicit Activities, and Governance
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
- Keywords
- artificial intelligence, anti-money laundering, natural language processing, deep learning, false positive reduction, financial crime detection
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