This research attempts to investigate the effect of types of AI systems (assisted, augmented, and autonomous) on internal auditing in Saudi Arabia. A questionnaire was used to collect data from 150 internal auditors in Riyadh City. To confirm that the study's goals were met, the descriptive analytical method was used. The questionnaire data is analyzed, and hypotheses are tested, using the Smart pls application. The study’s results show that there is a clear positive effect of AI systems, but different impacts vary according to the kind of AI systems, which is high in augmented systems, moderate in autonomous systems, and weak in assistive intelligence systems. Further studies on this subject can be conducted with larger sample sizes, especially if they are conducted globally. Based on these findings, future research can concentrate on national and cultural conditions. Additionally, companies should adopt more comprehensive involvement methods in internal auditing issues and the development of AI adoption in all company activities.

The primary objective of most financial statements is to provide a concentrated as well as categorized reports on financial performance and flexibility to help decision makers reach suitable financial decisions. This paper presents an empirical investigation to study the relationship between internal auditing and quality of financial statements on selected firms listed on Tehran Stock Exchange. The proposed study selects 140 firms over the period 2008-2012. Using some regression technique, the study has determined that there was a positive and meaningful relationship between firms with internal auditing in their activities and quality of financial statements.