$*$How can forensic accountants help organizations implement effective fraud detection systems using artificial intelligence and machine learning?Forensic accountants leverage artificial intelligence $($AI$)$ and machine learning $($ML$)$ to develop advanced fraud detection systems. They design algorithms that analyze large datasets, identify patterns, and detect anomalies indicative of fraud. AI and ML enable continuous monitoring and real$-$time detection of suspicious activities, enhancing the organization$$s ability to respond promptly to potential fraud. Forensic accountants also train these systems to improve accuracy and reduce false positives. By integrating AI and ML into fraud detection processes, organizations can enhance their proactive fraud prevention capabilities. What are the key considerations for implementing these technologies in fraud detection systems?