The impact of artificial intelligence requirements on the prevention of money laundering operations An Analytical Study in a Sample of Iraqi Commercial Banks

A letter submitted to the Council of the College of Administration and Economics – University of Karbala, which is part of the requirements for obtaining a master’s degree in financial and banking sciences

Presented by

Rawasi Shaker Hussein

Supervised by

Assistant Professor Dr.
 Nour Salah Abdel Nabi

Assistant Professor Dr.
Jnan Al dahan

ABSTRACT

This study aims to explore the impact of artificial intelligence requirements in its dimensions (databases, continuous auditing, neural networks, social intelligence) in preventing money laundering operations in its dimensions (legislation and banking regulations, compliance monitor, banking competition, control risks) through a survey study on Iraqi commercial banks from the point of view of employees at the upper and middle administrative levels, numbering (100) who work in Iraqi commercial banks, the study sample. The study also addressed the applied aspect, which included statistical methods within the statistical program for social sciences (SPSSv25) and (AMOS 24) to prove the validity of the study hypotheses for the purpose of processing the data obtained through the field study of the sample studied. The study reached a number of conclusions, including that the use of artificial intelligence greatly enhances the ability of banks to detect and identify suspicious activities faster and more accurately, which contributes to reducing financial risks and achieving compliance with international laws. It recommended that banks invest in advanced artificial intelligence platforms to improve the detection of suspicious activities and ensure accurate data collection and continuous updating to enhance the accuracy of the analysis.

 Keywords: Artificial Intelligence, Money Laundering.