The Role of Artificial Intelligence (AI) in Turkey’s Fight Against Money Laundering and Terrorist Financing (ML/FT)
The purpose of the study. The article is devoted to the role of artificial intelligence (AI) in the context of countering money laundering and terrorist financing (AML/CFT). The authors considered Turkey as an example. Based on the FATF 2023 report, the advantages and disadvantages of the national «anti-money laundering» system were analyzed. The authors conducted an analysis of the measures that were taken by Turkey before its removal from the FATF grey list in July 2024. Taking into account the statements of Turkish politicians, it is stated that Ankara will continue to seek to invest in the development of AI, including in the context of countering ML/FT. Results. As a result of the conducted research, the authors concluded that Turkey demonstrates an integrated approach to combating terrorism, combining compliance with international obligations with active internal financial control measures. Such a multi-level mechanism makes it possible to effectively counter various terrorist groups, regardless of their ideological orientation. Turkey will show an increasing interest in new technologies, primarily in order to become a technologically independent country in the international arena. In addition, in July 2024, Turkey was removed from the FATF grey list, which means that the country is no longer under increased monitoring by the FATF and is ready to demonstrate the effectiveness of the national “anti-money laundering” system. Turkey will have to present the results of its work in an annual report at the upcoming FATF session in July 2025.
Authors
- Руслан Шангараев (ORCID: https://orcid.org/0000-0001-6557-4388)
- Sergey Goncharov
Institutions
- Diplomatic Academy of the Russian Foreign Ministry (RU)
Publication Details
- Journal
- Sociopolitical sciences
- Published
- 2025-07-19
- DOI
- https://doi.org/10.33693/2223-0092-2025-15-3-100-107
- Primary Topic
- Crime, Illicit Activities, and Governance
- Type
- article
- Field-Weighted Citation Impact
- 0.00