he Perceived Role of Artificial Intelligence Technology in Enhancing Internal Audit Quality in the Iraqi Banking Sector: An Empirical Study

Authors

DOI:

https://doi.org/10.36325/ghjec.v22i3.25148.

Keywords:

Artificial Intelligence Technology ( AIT ), Continuous Auditing, Digital Governance, Internal Audit Quality, Iraqi Banking Sector

Abstract

 Background: Artificial Intelligence Technology (AIT) is increasingly transforming internal auditing through automated data analysis, continuous monitoring, anomaly detection, and enhanced professional decision-making. In the Iraqi banking sector, growing financial complexity, cybersecurity risks, and regulatory requirements highlight the importance of examining how AI-related organizational capabilities are associated with internal audit quality.

Objectives: This study investigates banking professionals' perceptions of the relationship between AIT and internal audit quality in Iraqi banks. Specifically, it examines three dimensions of AIT: technological infrastructure availability, cognitive and digital skills, and digital governance and ethical controls.

Methods: A quantitative, cross-sectional, descriptive-analytical research design was employed. Data were collected through a structured questionnaire administered to 257 banking professionals involved in auditing, accounting, compliance, and related financial control activities. The questionnaire comprised 30 items measuring AIT and internal audit quality. Data were analyzed using SPSS, incorporating descriptive statistics, reliability assessment, and multiple regression analysis.

Results: The findings revealed significant positive associations between all three AIT dimensions and perceived internal audit quality. The regression model explained 70.7% of the variance in perceived internal audit quality (R² = 0.707). Technological infrastructure availability demonstrated the strongest positive regression coefficient (B = 0.342), followed by digital governance and ethical controls (B = 0.315) and cognitive and digital skills (B = 0.184). All three predictors were statistically significant (p < 0.001).

Conclusion: The findings suggest that effective AI-supported internal auditing requires an integrated approach combining technological infrastructure, professional digital competencies, and appropriate governance mechanisms. Iraqi banks should strengthen their technological readiness, invest in continuous professional training, and implement robust ethical and cybersecurity controls. Since the findings are based on cross-sectional perceptions, they indicate statistical associations rather than causal improvements in actual audit performance.

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References

Abdullah, A. A. H., & Almaqtari, F. A. (2024). The impact of artificial intelligence and Industry 4.0 on transforming accounting and auditing practices. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100218. https://doi.org/10.1016/j.joitmc.2024.100218

Al-Amri, S. M. (2024). The role of analytical artificial intelligence in predicting deviations and mitigating banking financial fraud in light of International Standard on Auditing (ISA 240). Jordanian Journal of Business Administration, 20(3), 412–438.

Alassuli, A. (2025). Impact of artificial intelligence using the robotic process automation system on the efficiency of internal audit operations at Jordanian commercial banks. Banks and Bank Systems, 20(1), 122–135. https://doi.org/10.21511/bbs.20(1).2025.11

Al-Atiyat, M. A. (2024). The impact of artificial intelligence on audit quality: A field study on financial audit firms. International Journal of Financial Studies, 12(2), 89–105.

Al-Bakaa, Z. M. (2024). Requirements for implementing artificial intelligence technology in the auditing profession in Iraq and the difficulties faced. Iraqi Journal of Administrative Sciences, 20(79), 88–112.

Al-Dour, A. A. K., & Ismail, L. L. (2025). The role of artificial intelligence in enhancing the accounting and audit profession. Iraqi Journal for Administrative Sciences, 21(85). https://doi.org/10.71207/ijas.v21i85.4300

Al-Fadli, Z., & Al-Amery, S. (2025). The role of artificial intelligence in achieving audit quality in light of digital transformation. Entrepreneurship Journal for Finance and Business. https://doi.org/10.56967/ejfb2025520

Al-Hasani, F. N., & Hussein, A. A. (2024). The impact of compliance with the revised International Standard on Auditing (ISA 315) within the digital environment of Iraqi banks. Al-Dananir Journal for Accounting and Financial Sciences, 1(24), 155–178.

Al-Mansouri, S. A. (2026). Cloud computing infrastructure and its impact on the professional performance efficiency of auditors: A comparative study within the Gulf banking environment. Journal of Gulf and Arabian Peninsula Studies, 52(201), 77–99.

Al-Obaidi, M. H., & Al-Zubaidi, H. A. (2023). The reflection of cloud computing technology and artificial intelligence on the independence and objectivity of auditors in the Iraqi business environment. Al-Dananir Journal for Accounting and Financial Sciences, 12(3), 123–145.

Al-Otaibi, K. M., & Al-Rashidi, F. A. (2024). Digital governance frameworks for artificial intelligence and their impact on enhancing the independence of internal auditors in the Saudi banking sector. Journal of King Saud University – Administrative Sciences, 36(2), 145–169.

Al-Saedi, K. A. (2025). The employment of machine learning algorithms to predict deviations and mitigate financial fraud risks in Iraqi Islamic banks. Journal of Management and Economics, 48(146), 210–235.

Al-Tamimi, A. J., & Al-Jubouri, O. A. (2024). The impact of artificial intelligence techniques on internal audit quality: A field study in Iraqi commercial banks. Journal of Economic and Administrative Sciences, 30(138), 45–68.

Al-Tamimi, A. M. S., Talal, N. O., & Fadil, A. A. (2025). The possibility of using artificial intelligence applications to enhance audit quality: Field study. Iraqi Journal for Administrative Sciences, 21(86). https://doi.org/10.71207/ijas.v21i86.5012

Ben Ali, A. M. (2025). The reality of cognitive and digital skills among auditors in light of adopting expert systems and artificial intelligence applications. Journal of Development Strategies in Algeria, 12(2), 301–324.

Commerford, B. P., Eilifsen, A., Hatfield, R. C., Holmstrom, K. M., & Kinserdal, F. (2024). Control issues: How providing input affects auditors' reliance on artificial intelligence. Contemporary Accounting Research, 41(4), 2134–2162. https://doi.org/10.1111/1911-3846.12974

Johri, A., Sayal, A., Chong, K. M., Khoja, M., Chaithra, N., Jha, J., & Tyagi, N. (2026). Enhancing audit quality and reducing costs: The impact of AI in banking and financial services. Frontiers in Artificial Intelligence, 8, 1718854. https://doi.org/10.3389/frai.2025.1718854

Khalil, S. H., & Hama Saeed, V. S. (2026). The role of artificial intelligence technologies in enhancing internal audit quality: A field study of a sample of private companies/Kurdistan Region of Iraq. Tikrit Journal of Administrative and Economic Sciences, 22(73). https://doi.org/10.25130/tjaes.22.73.1.24

Leocádio, D., Malheiro, L., & Reis, J. (2024). Artificial intelligence in auditing: A conceptual framework for auditing practices. Administrative Sciences, 14(10), 238. https://doi.org/10.3390/admsci14100238

Qader, K. S., & Cek, K. (2024). Influence of blockchain and artificial intelligence on audit quality: Evidence from Turkey. Heliyon, 10(9), e30166. https://doi.org/10.1016/j.heliyon.2024.e30166

Shawaqfeh, G. N., Nasr, S. Y., Shehab, S. T. M., Alawneh, A. M., & Alomari, K. F. (2026). The impact of artificial intelligence on improving the quality of internal auditing in commercial banks: The moderating role of accounting information systems. Journal of Digital Economy. Advance online publication. https://doi.org/10.1016/j.jdec.2026.03.001

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Published

2026-10-20

How to Cite

Matrood, A.A. and Kanso , H.H. (2026) “he Perceived Role of Artificial Intelligence Technology in Enhancing Internal Audit Quality in the Iraqi Banking Sector: An Empirical Study”, Al-Ghary Journal of Economic and Administrative Sciences, 22(3), pp. 98–116. doi:10.36325/ghjec.v22i3.25148.

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