Integrating machine learning algorithms into audit processes: Benefits and challenges
Beatrice Oyinkansola Adelakun,
Damilola Temitayo Fatogun,
Tomiwa Gabriel Majekodunmi
et al.
Abstract:The integration of machine learning (ML) algorithms into audit processes represents a significant advancement in the field of auditing, offering substantial benefits in terms of efficiency, accuracy, and risk management. This review examines the transformative potential of ML in auditing, highlighting its key benefits and the challenges that must be addressed to fully leverage its capabilities. Machine learning algorithms, with their ability to analyze large datasets and identify patterns, enhance the accuracy… Show more
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