Document Type : Research Article
Author
Assistant Professor, Department of Law, Sav.C., Islamic Azad University, Saveh Iran. Email: samanabdollahi@iau.ac.ir
Abstract
Money laundering is recognized as a global issue and a transnational crime, as it is linked to organized crime, terrorism, human trafficking, and drug trafficking. Moreover, smart money laundering has emerged as one of the most complex challenges facing financial and security systems in the digital era. Accordingly, this study aims to examine modern methods of smart money laundering and to investigate the role of advanced technologies such as trading robots, artificial intelligence, and crypto currencies in facilitating this process.
This article has been written using a descriptive-analytical approach.
The findings indicate that golden-collar criminals, through the use of artificial intelligence, trading robots, and crypto currencies, have transformed traditional money laundering methods. Moreover, existing supervisory systems and anti-money laundering regulations primarily designed to counter conventional methods prove ineffective against smart techniques. The results of the study further reveal that effectively combating smart money laundering requires updating supervisory technologies (such as machine learning and network-based transaction analysis), reforming legislation (including the explicit criminalization of digital money laundering and monitoring cryptocurrency exchanges), and strengthening international cooperation. Additionally, future research should focus on the impact of emerging technologies such as generative artificial intelligence, the metaverse and smart contracts on money laundering.
Keywords
- Smart Money Laundering
- Artificial Intelligence
- Cryptocurrency
- Trading Robot
- Golden-Collar Criminals
- Anti-Money Laundering Regulations
Main Subjects
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