چکیده مقاله
This article examines the application of artificial intelligence AI in detecting and combating money laundering within financial and banking systems With the advancement of digital banking, money laundering techniques have become more complex, and AI has emerged as an effective tool for identifying criminal behaviors The article introduces different types of AI, including Narrow AI ANI , General AI AGI , and Super AI ASI , and evaluates their capabilities in predicting suspicious activities It highlights the use of advanced algorithms such as neural networks and anti money laundering AML models based on rule based systems and transaction flow analysis, enabling the identification of transactional correlations Furthermore, the stages of money laundering placement, layering, and integration are analyzed, along with AI related challenges in monitoring transactions The findings indicate that AI improves the security and efficiency of banking systems, reduces the risks associated with money laundering, and enhances public trust By presenting successful case studies, this article encourages financial institutions to develop more advanced systems for combating money laundering effectively
کلیدواژهها
نویسندگان
شیوه ارجاع
Ebrahimi, Nafiseh and Salehi, Somayeh and Bidram, Reyhaneh,1403,The Application of Artificial Intelligence in Combating Money Laundering,The 14th ECDC2025 international e-commerce conference with the approach of artificial intelligence, Internet of Things, business and metaverse,Shiraz
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی تجارت الکترونیک ECDC۲۰۲۵ با رویکرد هوش مصنوعی، اینترنت اشیاء، کسب و کار و متاورس25 بهمن 1403 · شیراز