Artificial Intelligence – – Challenges of Use in Auditing
DOI:
https://doi.org/10.56362/Rev24107043JKeywords:
artificial intelligence, audit processesAbstract
Artificial intelligence is reshaping internal audit processes by automating tasks and improving overall efficiency. Research shows that investments in AI correlate with improved audit quality and reduced costs. However, the paper also discusses ethical dilemmas and potential risks, including reduced human oversight and the protection of trade secrets. The balance between AI’s innovative potential and the preservation of confidential information in corporate environments is discussed. It concludes that AI significantly improves audit efficiency and accuracy but requires careful consideration of ethical and security implications. This paper highlights the challenges and key benefits of using artificial intelligence in internal audits.
References
(1) Agrawal, B. K. (2023, November 20). AI in Auditing: Evaluating the Advantages and Disadvantages of Implementing Artificial Intelligence in Auditing. CA Bijay Kumar Agrawal.
(2) DataSnipper AI Report (2024). Shaping the Future of Audit and Finance, Published July 8, 2024 https://www.datasnipper.com/resources/the-state-of-ai-in-audit-2024-report
(3) EU (2016) Directive (EU) 2016/943 od 8.5.2016. https://eur-lex.europa.eu/legal-content/ HR/TXT/?uri=CELEX%3A32016L0943
(4) EU, AI act (2024) Regulation (EU) 2024/1689 available at: http://data.europa.eu/eli/reg/2024/1689/oj
(5) European Commission. (2019). EU Guide: Ethics guidelines for trustworthy AI. Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2019:0168:FIN
(6) High-Level Expert Group on AI. (2019). Ethics guidelines for trustworthy artificial intelligence. Retrieved from https://www.insideglobaltech.com/2019/04/09/ai-update-euhigh-level-working-group-publishes-ethics-guidelines-for-trustworthy-ai/
(7) Jeremić, N., & Jakovljević, N. (2023). The Role of Internal Auditors in Preventing Financial Fraud in the Republic of Serbia. Trends in Business, 11(2), 63-72. https://doi.org/10.5937/trendpos2302063J
(8) Jeremić, N., Jeremić, M., & Jakovljević, N. (2021). Agility of Internal Auditing. Auditor, 24(95-96), 57-76. https://doi.org/10.5937/Rev2196057J
(9) Criminal Code (“Official Gazette of RS”, No. 85/2005, 88/2005 - corrigendum, 107/2005 - corrigendum, 72/2009, 111/2009, 121/2012, 104/2013, 108/2014, 94/2016, and 35/2019)
(10) Munoko, Ivy & Brown-Liburd, Helen & Vasarhelyi, Miklos. (2020). The Ethical Implications of Using Artificial Intelligence in Auditing. Journal of Business Ethics. 167. 10.1007/s10551-019-04407-1.
(11) SAP, (2024) SAP Audit Management, https://www.sap.com/westbalkans/products/financial-management/audit-management.html
(12) World Intellectual Property Organization - WIPO, United Nations (2024). Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS). https://www.wipo.int/wipolex/en/treaties/details/231
(13) The Institute of Internal Auditors. (2021). The IIA’s Internal Audit Competency Framework. Retrieved [18.08.2021], from https://www.theiia.org/en/content/guidance/mandatory/standards/ia-competency-framework/
(14) Government of the Republic of Serbia, (2019). Strategy for the Development of Artificial Intelligence in the Republic of Serbia for the Period 2020-2025. (Official Gazette of RS No. 96/19);
(15) Law on Banks (“Official Gazette of RS”, No. 107/2005, 91/2010, and 14/2015),
(16) Labor Law (“Official Gazette of RS”, No. 24/2005, 61/2005, 54/2009, 32/2013, 75/2014, 13/2017 - US Decision, 113/2017, and 95/2018 - Authentic Interpretation)
(17) Law on the Protection of Trade Secrets (“Official Gazette of RS”, No. 53/2021).