Application of AI technology in audit risk assessment and control: Taking internal audit of higher education institutions as an example
Vol 9, Issue 1, 2025
Abstract
With the rapid development of artificial intelligence (AI) technology, its application in the field of auditing has gained increasing attention. This paper explores the application of AI technology in audit risk assessment and control (ARAC), aiming to improve audit efficiency and effectiveness. First, the paper introduces the basic concepts of AI technology and its application background in the auditing field. Then, it provides a detailed analysis of the specific applications of AI technology in audit risk assessment and control, including data analysis, risk prediction, automated auditing, continuous monitoring, intelligent decision support, and compliance checks. Finally, the paper discusses the challenges and opportunities of AI technology in audit risk assessment and control, as well as future research directions.
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Cheng, J. (2019). Rethinking the Functions and Work Concepts of Internal Auditing in Higher Education Institutions-Based on the Essential Attributes and Functional Transformation of Internal Auditing [J]. Journal of National Academy of Education Administration, (01): 69–74.
China Institute of Internal Audit. (2009). Internal Audit Practice Guide No. 4-Internal Auditing in Higher Education Institutions [S]. 2009: 1–64.
Guillaume, G., Enisa, S., Colin, V., et al. (2024). Development and reporting of artificial intelligence in osteoporosis management. Journal of Bone and Mineral Research. (11), 11.
Hainous, M., Sekaki, Y., Amiri, I., Zaam, H. (2021). Internal audit and the modernization of moroccan public administrations [J]. World Organization of Applied Sciences, 3: 56–62.
Han, X. (2018). Discussion on the Application of Risk-Based Internal Auditing in Higher Education Institutions [J]. Co-Operative Economy & Science, 2018(20): 154–155.
Inigo, S. A., Tamilselvi, R., Parisa Beham, M. (2024). A review on imaging techniques and artificial intelligence models for osteoporosis prediction. Current Medical Imaging [J]. 2024(20.1): E080623217779.
Ivanov, S., and Biolchev, P. (2024). Ai effectiveness and risk assessment of investments in high-risk start-ups [J]. Strategies for Policy in Science & Education, 32: 158–166.
Li, H., Wang, R. (2017). New Developments in Internal Auditing in Higher Education: Participating in University Risk Management [J]. Finance and Accounting Monthly, (13): 119–124. doi: 10.19641/j.cnki.42-1290/f.2017.13.024.
Liu, Q., Xu, R., Tao, W. (2024). Impact of auditing information technology modernization on corporate technological innovation investment: the roles of risk perception and internal control [J]. Finance Research Letters, 67: 283–296.
Ministry of Education of the People’s Republic of China. Regulations on Internal Auditing in the Education System [EB] (2020-03-20) [2024-03-28]. http://www.moe.gov.cn/jyb_xxgk/xxgk/zhengce/guizhang/202112/t20211206_585019.html
Natalja, A., and Anton, K. (2017). Application of recommendation blocks for conversion management of the internet store [J]. Technology audit and production reserves, 4(36): 4–8.
Pavlova, L. (2020). Modernization of the state internal financial audit system of the Russian federation [J]. Auditor, 6(11), 31–38.
Zhang, J., Jiang, X., Xu, K., et al. (2017). Research on the Role of Internal Auditing in University Governance [J]. Friends of Accounting, (13): 116–120.
Zhang, J., Xiong, L., Liu, Y., et al. (2015). Establishment and Optimization of the Internal Audit Information Platform in Higher Education Institutions-A Case Study of the Audit Information Platform of Shanghai University [J]. Internal Auditing in China, (11): 52–60.
Zheng, X. and Chen, Y. (2024). Research on risk assessment and management strategies of applying artificial intelligence technology in educational institutions. Applied Mathematics and Nonlinear Sciences, 9(1).
DOI: https://doi.org/10.24294/jipd10125
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