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Research Article
18 (
2
); 67-99
doi:
10.25259/JAES_18_2_99

Enhancing Audit Evidence Quality through Artificial Intelligence in Saudi Arabia

Department of Accounting, College of Business and Economics, Qassim University, P.O. Box: 6640, Buraidah-51452, Saudi Arabia
Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
Disclaimer:
This article was originally published by Qassim University and was migrated to Scientific Scholar after the change of Publisher.

Abstract

The study aims to explore how cloud artificial intelligence (AI) technologies can impact the quality of audit evidence in Saudi Arabian. A survey was conducted on nine joint stock companies listed in the Saudi Arabian Stock Exchange (Tadawul), focusing on those in the telecommunication services and software services sectors with strong infrastructure in cloud AI. Results revealed a lack of alignment between auditing standards and AI technologies, hindering the improvement of audit evidence quality. However, there was a significant correlation between the proposed use of cloud AI technologies and enhancing audit evidence quality. To address this, the study recommends the adoption of cloud AI techniques such as visual recognition, text analysis, and natural language processing in auditing practices. It also suggests the development of standards compatible with cloud AI and fostering collaboration between professional bodies to ensure better audit evidence quality.

Keywords

Cloud Artificial Intelligence
Audit Evidence
Saudi Arabia

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