المجلة الدولية للاداء الاقتصادي
Volume 8, Numéro 1, Pages 310-330
2025-06-30
Authors : Balouz Mohamed .
This study examines the transformative role of Artificial Intelligence (AI) in combating financial crimes, particularly money laundering, in international trade from 2010 to 2024. Through a data-driven analytical approach, it evaluates AI’s effectiveness in detecting illicit transactions, enhancing AML compliance, and mitigating financial risks. The findings reveal that AI-driven algorithms, particularly machine learning techniques, have significantly improved fraud detection accuracy and real-time monitoring capabilities. However, challenges such as regulatory fragmentation, ethical concerns, and data limitations hinder AI's full potential.
Artificial Intelligence ; Financial Crimes ; Money Laundering ; International Trade ; Anti-Money Laundering
بوسالم أحلام
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عابد يوسف
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ص 117-132.
Yahia Zeghoudi
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pages 74-88.
دوايدي ناصر
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ص 230-250.
Bouarioua Rabia
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Si Mohand Mounir
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pages 18-33.
Said Houari Amel
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pages 257-268.