DIGITAL INNOVATION, AML/CFT COMPLIANT AND RISK-BASED APPROACH

A. Kuchumov, E. Pecheritsa
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引用次数: 1

Abstract

The article analyzes a review of the best in- ternational practices in the field of AML/CFT, developed and adopted by such countries as Germany, Great Britain, USA, Singapore, France. These include the standards of the Intergovernmental Commission on Financial Monitoring (FATF), as well as the ongoing monitoring and risk-based approach that are being implemented to combat money laun- dering around the world. The following re- search methods were used in the article: an analysis of modern scientific literature by foreign authors, focused on the aspect of crimes related to money laundering in the international AML regime in accordance with FATF standards. The purpose of this study is to consider the possibility of introducing artificial intelligence (AI) in the field of AML/CFT based on an analysis of the best international practices. 13 sources were ana- lyzed, including 4 scientific articles, including those on the introduction of artificial intelli- gence in combating money laundering and terrorism financing, 5 websites of regional organizations like the FATF. The study iden- tified barriers to the introduction of digital innovations in the field of AML/CFT for both commercial organizations and supervisory authorities: the difficulties and costs associ- ated with replacing or updating outdated sys- tems, difficulties associated with the explain- ability and interpretability of digital solutions. It is concluded that, when used responsibly and proportionately, innovative AML/CFT technologies can help identify risks and fo- cus efforts on existing and emerging issues,while manual verification and human partici- pation remain critical, while developing, im- plementing and regulatory oversight of inno- vative technologies should reflect both threats and opportunities, and the use of innovative tools should be compatible with international data protection, privacy and cybersecurity standards.
数字创新、反洗钱/反恐怖融资合规和基于风险的方法
本文分析了德国、英国、美国、新加坡、法国等国在反洗钱/反恐融资领域发展和采用的国际最佳实践。其中包括政府间金融监测委员会(FATF)的标准,以及正在实施的持续监测和基于风险的方法,以打击世界各地的洗钱活动。本文采用了以下研究方法:分析国外作者的现代科学文献,根据FATF标准,重点研究国际反洗钱制度中与洗钱有关的犯罪方面。本研究的目的是在分析国际最佳实践的基础上,考虑在反洗钱/反恐融资领域引入人工智能(AI)的可能性。分析了13个来源,其中包括4篇科学文章,包括关于在打击洗钱和恐怖主义融资中引入人工智能的文章,以及FATF等区域组织的5个网站。该研究确定了商业组织和监管机构在反洗钱/反恐融资领域引入数字创新的障碍:与替换或更新过时系统相关的困难和成本,与数字解决方案的可解释性和可解释性相关的困难。结论是,当负责任地、按比例地使用时,创新的“反洗钱”/“反恐融资”技术可以帮助识别风险,并集中精力解决现有和新出现的问题,而人工验证和人工参与仍然至关重要,而创新技术的开发、实施和监管监督应反映威胁和机遇,创新工具的使用应与国际数据保护相兼容。隐私和网络安全标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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