Artificial intelligence and its impact on audit quality An exploratory study in the Commercial Bank of Iraq, Najaf Branch

Abstract

The current research aims to reveal the nature of the relationship between applications of artificial intelligence and the quality of auditing, as the financial and administrative development witnessed by all activities of business institutions has led these institutions to seek ways and mechanisms that contribute to improving the monitoring and evaluation process in their various departments. Among these methods that business institutions have begun in general, it employs what is known as artificial intelligence applications. Since the internal audit function is one of the important functions in institutions due to the multiplicity of its activities, the increase in business volume, and the increase in competitiveness between institutions, and because the applications of artificial intelligence are based on the principle of making the best decision based on collecting and analyzing data through the use of modern technological techniques and applications, therefore many institutions have begun to turn to Adopting artificial intelligence applications in controlling the quality of internal audit in an effort to reach a better level of performance. To achieve the research goal, the researchers distributed a questionnaire to employees of Trade Bank of Iraq, AL-Najaf branch. The research reached a set of conclusions, the most important of which is the limited reliance on artificial intelligence applications in the bank under study, which negatively affects the efficiency of the audit process. The research also presented a set of recommendations, the most important of which is that Iraqi institutions in general and the institution under study should rely more on artificial intelligence applications because of their Importance in improving audit quality.