GASPRO International Journal of Eminent Scholars

This study examined the adoption of artificial intelligence in curbing fraud in public organisations, assessing fraud detection and control. Several essential concepts were reviewed in the course of this study, which included artificial intelligence, fraud, fraud detection, fraud control, and types of fraud in public organisations, among others. The study highlighted that the integration of artificial intelligence (AI) in fraud detection and control represents a significant advancement in the fight against financial malfeasance within public organizations. The study mentioned that AI fraud detection operates by implementing machine learning algorithms that are designed to analyse behaviours and detect anomalies indicative of fraud, and that AI has transformed fraud detection and control, helping public organisations combat fraudulent activities by offering sophisticated methods to detect, prevent, and mitigate risks. Furthermore, the study outlined the effects of artificial intelligence on fraud detection and control, which include improved detection accuracy, real-time monitoring, reduced false positives, and adaptive security measures. The study concluded that the integration of artificial intelligence (AI) in fraud detection and control is a significant advancement in combating financial malfeasance in public organizations. One of the recommendations of the study was that public organisations should allocate resources to acquire and maintain cutting-edge AI technologies and infrastructure.

Keywords: Artificial Intelligence, Fraud, Public Organization, Detection and Control