The Use of External Auditor to Data Mining as an Artificial Intelligence Technology to Examine the Internal Control Systems in an Electronic Business Environment
Keywords:
Artificial intelligence, data mining, electronic internal control systems, auditorAbstract
This research clarified the importance of the external auditor’s use of one of the modern tools of artificial intelligence applications in the audit process, i.e., data mining technology in the electronic business environment. Therefore, this research gauged the contribution of artificial intelligence applications in diagnosing the strengths and weaknesses of electronic control systems in an electronic business environment. It also investigated the contribution of artificial intelligence to external auditor in reducing auditing risks. The study reached that: artificial intelligent applications can be used in various fields, including in They enjoy a number of advantages that increase the need for them .accounting and auditing Furthermore, they contribute to developing the role of the .with the development of technology auditors and improving the quality of their performance. External auditor employs artificial intelligence with data mining technology to provide a new mechanism that will improve and Finally, it is recommended to include artificial intelligent in the .achieve audit objectives curricula and that the external auditor’s report should contain a paragraph which states the extent and type of modern technology used in the audit
References
Abdullah, K. A. (2004). The scientific aspect of auditing, (2nd edition), Amman: Wael Publishing House.
Accounting Standards Oversight Council in Iraq in. Audit Guide No. (4).
Al-Dahrawi, K. & Muhammad, S. (2000). Accounting information systems, (1st edition). New University House.
Al-Samarrai, I. & Sherida, N. (2020). The role of artificial intelligence techniques using digital auditing in achieving audit quality and supporting its strategy from the point of view of auditors: A field study in audit firms in the Kingdom of Bahrain. International Journal of Economics and Business, 8(1),15-31
Anbar, S. (2015). The quality of auditing by adopting artificial intelligence, (Unpublished PhD Thesis). University of Baghdad.
Baccasam,V. P. (2003). Continuous monitoring of application risk. IIA, 6.
Gail, L., Nancy., Sukanq a, P." Regulatious of electronic employee monitoring: Identifying fundawental principles of employee privacy legislation in the Europeen Union, U.S and Canada, Standford Technology Law Review, 2004 .
Gusai, O. P. (2019). Robot human interaction: Role of artificial intelligence in accounting and auditing. Indian Journal of Accounting, 51(1), 59-62.
Hamad, M. N. (2012). The impactful role of using artificial intelligence applications in improving the credibility of accounting information for effective decision-making. 11th Annual Scientific Conference, Business Intelligence and Knowledge Economy, Al-Zaytoka University of Jordan.
Han, J., & Kamber, M. (2006). Data mining: concepts and techniques, (2nd edition). University of Illinois at Urbana Champaign: Morgan Kaufmann.
Kruchko, J. G., Fries, J., Lusky, P. M., Ray, S. W., Talty, K. A., Isler, E. L., & Law, C. A. (1996). Monitoring your employees: how much can you do and what should you do when you uncover wrongdoing. In 19th National Security Conference.
Kwafo, D. (2019). The impacts of artificial intelligence on Management accounting students: A case study at Oulu business school. university of Oula, (Unpublished master thesis). University of Oula
MDRSC, (2022). Introduction to data mining. Retrieved at Sep. 20, 2022, from www.mdrscenter.com.
Negnevitsky, M. (2004). Artificial intelligence: a guide of intelligent systems. Riyadh: Mars Publishing House.
Odoh, L. C., Echefu, S. C., Ugwuanyi, U. B., & Chukwuani, N. V. (2018). Effect of artificial intelligence on the performance of accounting operations among accounting firms in South East Nigeria. Asian Journal of Economics, Business and Accounting, 7(2), 1-11.
Osman, O. H. & Jamil, A. A. (2015). The possibility of using artificial intelligence techniques in controlling the quality of internal audit: A field study in Jordanian public shareholding companies. Journal of the University of Jordan, 1, 239-252.
Othman, A. A. (1999). The principles of audit and internal control, (1st Edition). Mosul: Dar Al-Kitab for Printing and Publishing.
Sharma, A. & Panigahi, P. K. (2012). Review of financial accounting fraud detection based on data mining techniques. International Journal of Computer Applications, 39(1), 38-39.
Vinuesa R, Azizpour H, Leite I, Balaam M, Dignum V…Nerini F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nat Commun, 11(1),233. https//doi10.1038/s41467-019-14108-y
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits
