HARNESSING AI FOR FRAUD DETECTION: TRANSFORMING FORENSIC ACCOUNTING

Abstract

Regarding forensic accounting, improved methods are necessary to properly spot and stop dishonest activity. The possibilities of artificial intelligence (AI) to change fraud detection in systems of forensic accounting are examined in this paper. Artificial intelligence systems may efficiently and with higher accuracy find possible fraud by means of data analytics and machine learning approaches, therefore pointing out abnormalities. This book explores their uses in forensic accounting using numerous artificial intelligence approaches including neural networks, decision trees, and clusterings algorithms. Apart from addressing the difficulties and restrictions of using artificial intelligence in this sector, the research looks ahead and its applications. The findings imply that the application of artificial intelligence greatly increases the capacity to detect dishonest behavior, therefore affecting the techniques applied in forensic accounting.