Effects of Artificial Intelligence on Money Laundering in Southern Africa

Author:

Dzingirai Mufaro

Publisher

Springer Nature Switzerland

Reference41 articles.

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3. Alexandre, C. R., & Balsa, J. (2023). Incorporating machine learning and a risk-based strategy in an anti-money laundering multiagent system. Expert Systems with Applications, 217, 119500.

4. Armitage, A., & Keeble-Allen, D. (2008, June). Undertaking a structured literature review or structuring a literature review: Tales from the field. In Proceedings of the 7th European conference on research methodology for business and management studies: ECRM2008 (p. 35). Regent’s College.

5. Basel Institute on Governance. (2020). Basel AML Index: 9th Public Edition Ranking money laundering and terrorist financing risks around the world (p. 42). https://baselgovernance.org/sites/default/files/2020-07/basel_aml_index_2020_web.pdf

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