Impact of Anti-Fraud Leadership on Fraud Detection in Saudi Private Automotive Sector in the Era of Artificial Intelligence

Abstract

This study delves into the subject of the increasing danger posed by complex fraudulent operations in Saudi Arabia's private automotive sector. In order to improve fraud detection systems through the use of AI technology, it stresses the critical role of anti-fraud leadership. Incorporating both qualitative and quantitative methods, the study surveyed 1,000 individuals from various leadership roles, including C-level executives, directors, SGMs, GMs, managers, and regular staff. To guarantee accurate representation relative to the population, we initially chose a sample of 278 people. However, we received responses from 326 participants, which exceeded our target sample size and provided even more comprehensive insights. The study's findings stress the significance of a connection between strong leadership and technological adoption. It stresses the importance of leadership in fostering a culture that values adaptability, ethical compliance, and the practical application of AI. The report also delves into the difficulties of balancing the advantages of AI in terms of security with the necessity to safeguard individuals' right to privacy. It delves into the essential steps for safeguarding business and personal data in accordance with Saudi Arabia's strict privacy and data protection requirements. The findings stress the need for honest leadership to use AI for fraud detection in a responsible way, paving the way for the responsible use of such technology. The integrity and progress of the automotive industry's technical standards depend on strong leadership. In the ever-changing digital landscape, this ensures that fraudulent actions are prevented, and that privacy and compliance are upheld.