Artificial Intelligence & Internal Audit Quality Of Commercial Banks In Nigeria

Abstract

Internal auditors have crucial roles in appropriately and effectively managing risk within organizations. Several enquiries are made as to whether artificial intelligence (AI) may can assist them to them meet this goal. The study investigated the application of artificial intelligence in Nigerian commercial banks in a bid to facilitate audit quality. This study adopted the survey research design, prompting expert opinion on the subject matter. The study adopted the purposive sampling methods. The study enrolled 121 employees from selected banks. Employing the sample t-test to test the hypotheses formulated. The findings from the study show that at 95% confidence level p-value<0.05, the application of artificial intelligence has aided internal audit in commercial banks. Bringing to light valuable benefits which include real time detection, wider audit coverage, improved accuracy, and efficiency. Furthermore, the findings reveal that there are significant challenges impeding the application of AI by commercial banks. The study recommended improved AI awareness, training, and driving automation to improve quality of audit in commercial banks.