DOI: https://doi.org/10.14710/ajlm.2024.24652

The Role of Artificial Intelligence in Enhancing Global Internal Audit Efficiency: An Analysis

*Iyad Ghafar  -  Faculty of Economics and Business, Department of Accounting, Universitas Indonesia, Indonesia
Widya Perwitasari  -  Faculty of Economics and Business, Department of Accounting, Universitas Indonesia, Indonesia
Rama Kurnia  -  Faculty of Economics and Business, Department of Accounting, Universitas Indonesia, Indonesia
Open Access Copyright (c) 2024 IYAD GHAFAR, Widya Perwitasari, Rama Kurnia
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

This research paper explores the transformative role of artificial intelligence (AI) in enhancing the efficiency and effectiveness of global internal audit functions. As businesses increasingly adopt AI-driven technologies, internal auditing has witnessed significant advancements in data analysis, risk detection, compliance monitoring, and decision-making processes. The paper analyzes how AI tools like machine learning, natural language processing, and predictive analytics contribute to the automation of repetitive audit tasks, the detection of anomalies, and the improvement of audit accuracy and timeliness. Additionally, it addresses the challenges associated with AI adoption, including data privacy concerns, skills gaps among auditors, and the integration of AI into existing audit frameworks. The study also provides a comparative analysis of AI-enabled versus traditional audit practices, highlighting AI’s potential to enhance audit quality, reduce operational costs, and provide deeper insights into financial and non-financial risks. By examining case studies and industry practices, the paper emphasizes AI’s critical role in shaping the future of internal auditing on a global scale. The findings suggest that AI’s integration into internal audits is not just a trend but a necessary evolution for achieving optimal audit outcomes.

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Keywords: Artificial Intelligence, Internal Audit, Efficiency, Risk Detection, Audit Automation.

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  1. Accounting Today (2017). Scoping out the Audit of the Future. https://www.accountingtoday.com/news/scoping-out-the-audit-of-the-future. Accessed 30th September, 2024
  2. Adhikari I (2021). Eleven pros and cons of artificial intelligence. https://www. honestproscons.com. Retrieved 1st October, 2024
  3. Allbabidi MH (2021) Hype or hope: digital technologies in auditing process. Asian J Bus Acc 14(1):59–85. https://doi.org/10.22452/ajba.vol14no1.3
  4. Ammanath B, Hupfer S, Jarvis D (2020) Thriving in the era of pervasive AI. https:// deloitte.wsj.com. Accessed 29 September 2024
  5. Baldwin, A. A., Brown, C. E., & Trinkle, B. S. (2006). Opportunities for Artificial Intelli- gence Development in the Accounting Domain: The Case for Auditing. Intelligent Sys- tems in Accounting, Finance and Management, 14, 77-86. https://doi.org/10.1002/isaf.277
  6. Bizarro, P. A., & Dorian, M. (2017). Artificial Intelligence: The Future of Auditing. Inter- nal Auditing, 5, 21-26
  7. Bracci E, Papi L, Bigoni M, Gagliardo ED, Bruns H-J (2019) Public value and public sector accounting research: a structured literature review. J Public Budg 31(1):103–136. https://doi.org/10.1108/JPBAFM-07-2018-0077
  8. Brown, C. E., & O’Leary, D. E. (1995). What Is Artificial Intelligence (AI)? In Introduc- tion to Artificial Intelligence and Expert Systems (pp. 1-14). Authors
  9. Inioluwa, Deborah, Raji., Andrew, Smart., Rebecca, N., White., Margaret, Mitchell., Timnit, Gebru., Ben, Hutchinson., Jamila, Smith-Loud., Daniel, Theron., Parker, Barnes. (2020). 1. Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. arXiv: Computers and Society,
  10. Buchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence. AI Magazine, 26
  11. Chen F-H, Hsu M-F, Huawei K-H (2021) Enterprise’s internal control for knowledge discovery in a big data environment by an integrated hybrid model. Inf Technol Manag 23:213–231. https://doi.org/10.1007/s10799-021- 00342-8
  12. Chiu, C. T., & Scott, R. (1994). An Intelligent Forecasting Support System in Auditing: Expert System and Neural Network Approach. In Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences HICSS-94 (3, 272-280). IEEE
  13. Chowdhury EK (eds.) (2021) The essentials of machine learning in finance and accounting: prospects and challenges of using artificial intelligence in the audit process. Taylor and Francis Inc, London. https://www.taylorfrancis.com
  14. Chukwuani, V. N., & Egiyi, M. A. (2020). Automation of Accounting Processes: Impact of Artificial Intelligence. International Journal of Research and Innovation in Social Science (IJRISS), 4, 444-449
  15. Chukwudi, O., Echefu, S., Boniface, U., & Victoria, C. (2018). Effect of Artificial Intelli- gence on the Performance of Accounting Operations among Accounting Firms in South East Nigeria. Asian Journal of Economics, Business and Accounting, 7, 1-11. https://doi.org/10.9734/AJEBA/2018/41641
  16. Couceiro B, Pedrosa I, Marini A (2020) State of the art of artificial intelligence in internal audit context. Proceedings of the 15th Iberian Conference on Information Systems and Technologies, Seville, Spain. https://doi.org/10.23919/CISTI49556.2020.9140863
  17. Crevier, D. (1993). AI: The Tumultuous History of the Search for Artificial Intelligence. Basic Books. https://www.researchgate.net/publication/233820788
  18. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review (HBR). https://www.bizjournals.com/boston/news/2018/01/09/hbr-artificial-intelligence-for-th e-real-world.html
  19. Deloitte (2018). Artificial Intelligence Projects from Deloitte Practical Cases of Applied AI
  20. Edmondson J (2020) Risks and challenges of artificial intelligence for business. https://www.businesstechweekly.com. Accessed 25th September, 2024
  21. Erb D (2018) Artificial intelligence and the future of internal audit. https://www. berrydunn.com. Accessed 26 September, 2024
  22. Ergen M (2019) What is artificial intelligence? Technical considerations and future perception. Anatol J Cardiol 22(2):5–7. https://doi.org/10.14744/ AnatolJCardiol.2019.79091
  23. Florea R, Florea R (2016) Internal audit and risk management: ISO 31000 and ERM approaches. Econ Transdiscipl Cogn 19(1):72–77. http://www.ugb.ro/etc
  24. Ghanoum S, Alaba FM (2020) Integration of artificial intelligence in auditing: the effect on auditing. https://www.diva-portal.org. Accessed 30 September, 2024
  25. Goertzel T (2014) The path to more general artificial intelligence. J Exp Theor Artif Intell 26(3):343–354. https://doi.org/10.1080/0952813X.2014.895106
  26. Greenman, C. (2017). Exploring the Impact of Artificial Intelligence on the Accounting Profession. Journal of Research in Business, Economics and Management (JRBEM), 8, 1451-1454. http://scitecresearch.com/journals/index.php/jrbem/article/view/1063
  27. Grewal, P. D. S. (2014). A Critical Conceptual Analysis of Definitions of Artificial Intelli- gence as Applicable to Computer Engineering. IOSR Journal of Computer Engineering, 16, 9-13. https://doi.org/10.9790/0661-16210913
  28. Griffin, O. (2019). How Artificial Intelligence Will Impact Accounting
  29. HRF (2022). Pros and cons of artificial intelligence. https://www.healthresearchfunding. org
  30. https://gizmodo.com/the-very-first-robot-brains-were-made-of-old-alarm-cl-5890771 Jenkinson, A. J. (2009)
  31. Huang, Z. (2018). Discussion on the Development of Artificial Intelligence in Taxation. American Journal of Industrial and Business Management, 8, 1817-1824. https://doi.org/10.4236/ajibm.2018.88123
  32. Huq, S. M. (2014). The Role of Artificial Intelligence in the Development of Accounting Systems: A Review. The IUP Journal of Accounting Research and Audit Practices, 13, 7-19
  33. Inglis-Arkell, E. (2015, December 16). The Very First Robot “Brains” Were Made of Old Alarm Clocks. Gizmodo
  34. Jans M, Hosseinpour M (2019) How active learning and process mining can act as continuous auditing catalyst. Int J Acc 32:44–58. https://doi.org/10.1016/j. accinf.2018.11.002
  35. Khan R, Adi E, Hussain O (2021) AI-based audit of fuzzy front-end innovation using ISO56002. Manag Audit J 36(4):564–590. https://doi.org/10.1108/MAJ- 03-2020-2588
  36. Kokina, J., & Davenport, T. H. (2017). The Emergence of Artificial Intelligence: How Automation Is Changing Auditing. Journal of Emerging Technologies in Accounting, 14, 115-122. https://doi.org/10.2308/jeta-51730
  37. Korol V, Dmytryk O, Karpenko O et al. (2022) Elaboration of recommendations on the development of the state internal audit system when applying the digital technologies. East -Eur J Enterp 1(115):39–48. https://doi.org/10. 15587/1729-4061.2022.252424
  38. Kozlowski S (2018) An audit ecosystem to support blockchain-based accounting and assurance. Emerald Publishing Limited, Bingley. https://doi.org/10.1108/ 978-1-78743-413-420181015
  39. Kumar Doshi, H. A., Balasingam, S., & Arumugam, D. (2020). Artificial Intelligence as a Paradoxical Digital Disruptor in the Accounting Profession: An Empirical Study amongst Accountants. International Journal of Psychosocial Rehabilitation, 24, 873-885. https://doi.org/10.37200/IJPR/V24I2/PR200396
  40. Kuźniacki, B. (2019). The Marriage of Artificial Intelligence and Tax Law: (I) Past & Present. Kluwer International Tax Blog. http://kluwertaxblog.com/2019/01/23/the-marriage-of-artificial-intelligence-and-tax-la w-i-past-present
  41. Lam, M. (2004). Neural Network Techniques for Financial Performance Prediction: Inte- grating Fundamental and Technical Analysis. Decision Support Systems, 37, 567-581. https://doi.org/10.1016/S0167-9236(03)00088-5
  42. Lee, C. S., & Tajudeen, F. P. (2020). Usage and Impact of Artificial Intelligence on Ac- counting: 213 Evidence from Malaysian Organisations. Asian Journal of Business and Accounting, 13, 213-240. https://doi.org/10.22452/ajba.vol13no1.8
  43. Lehner OM, Ittonen K, Silvola H, Strom E, Wuhrleitner A (2023) Artificial intel- ligence based decision-making in accounting and auditing: ethical challenges and normative thinking. Account 35(9):109–135. https://doi.org/10.1108/ AAAJ-09-2020-4934
  44. Lexington Books, Lexington, https://rowman.com/LexingtonBooks Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of infor
  45. Libert B, Beck M, Bonchek M (2017). AI in the boardroom: The next realm of corporate governance. https://sloanreview.mit.edu. Accessed 27 Feb 2023
  46. Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.-C. (2020). Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Frontiers in Psychology, 11, Article ID: 580820. https://doi.org/10.3389/fpsyg.2020.580820
  47. Luo, J., Meng, Q., & Cai, Y. (2018). Analysis of the Impact of Artificial Intelligence Ap- plication on the Development of Accounting Industry. Open Journal of Business and Management, 6, 850-856. https://doi.org/10.4236/ojbm.2018.64063
  48. Mach E (2022) How artificial intelligence can help internal auditing. https:// avianaglobal.com. Accessed 1st October, 2024
  49. MacRae E, Gils DV (2014) Internal audit capabilities and performance levels in the public sector. https://www.interniaudit.cz. Accessed 27 September, 2024
  50. Makridakis, S. (2017). The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms. Futures, 90, 46-60. https://doi.org/10.1016/j.futures
  51. Martinez, R. (2019). Artificial Intelligence: Distinguishing between Types & Definitions
  52. Massaro M, Dumay J, Guthrie J (2016) on the shoulders of giants: undertaking a structured literature review in accounting. Account 29(5):767–801. https:// doi.org/10.1108/AAAJ-01-2015-1939
  53. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence
  54. McCarty, L. T. (1977). Reflections on “Taxman”: An Experiment in Artificial Intelligence and Legal Reasoning. Harvard Law Review, 90, 837-893. https://doi.org/10.2307/1340132
  55. Meservy, R. D., Denna, E. L., & Hansen, J. V. (1992). Application of Artificial Intelligence to Accounting, Tax, and Audit Services: Research at Brigham Young University. Expert Systems with Applications, 4, 213-218. https://doi.org/10.1016/0957-4174(92)90112-6
  56. Metricstream (2020) Can artificial intelligence help internal audit step up its game? https://www.metricstream.com. Accessed 28 September 2024
  57. Moffitt KC, Rozario AM, Vasarhelyi MA (2018) Robotic process automation for auditing. J Emerg Technol Acc 15(1):1–10. https://doi.org/10.2308/jeta-10589
  58. Mohammad, S. J. et al. (2020). How Artificial Intelligence Changes the Future of Ac- counting Industry. International Journal of Economics and Business Administration, 8, 478-488. https://doi.org/10.35808/ijeba/538
  59. Mokander J, Axente M, Casolari F, Floridi L (2021) Conformity assessments and post-market monitoring: a guide to the role of auditing in the proposed European AI regulation. Minds Mach 32:241–268. https://doi.org/10.1007/
  60. Muspratt A (2018) Four reasons companies are not adopting AI (and how to resolve them). https://www.processexcellencenetwork.com. Accessed 29 September 2024
  61. Nonnenmacher J, Kruse F, Schumann G, Gómez JM (2021) Using autoencoders for data-driven analysis in internal auditing. Proceedings of the 54th Hawaii International Conference on System Sciences, Hawaii, USA. https://doi.org/ 10.24251/hicss.2021.697
  62. O’Leary D.E. (2003). Auditor Environmental Assessments. International Journal of Ac- counting Information Systems, 4, 275-294. https://doi.org/10.1016/j.accinf.2003.09.001
  63. O’Leary, D. E. (1995). AI in Accounting, Finance and Management. Intelligent Systems in Accounting, Finance and Management, 4, 149-153
  64. O’Leary, D. E., & Karlinsky, S. S. (1992). Tax-Based Expert Systems: A First Principles Approach. In Expert Systems in Finance (pp. 163-184). Elsevier Science Publishers
  65. O’Leary, D. E., & O’Keefe, R. M. (1997). The Impact of Artificial Intelligence in Account- ing Work: Expert Systems Use in Auditing and Tax. AI & Society, 11, 36-47. https://doi.org/10.1007/BF02812437
  66. Omoteso, K. (2012). The Application of Artificial Intelligence in Auditing: Looking Back to the Future. Expert Systems with Applications, 39, 8490-8495. https://doi.org/10.1016/j.eswa.2012.01.098
  67. Opr K (2020) The what and how of artificial intelligence in internal auditing. https://www.krestonopr.com. Accessed 25 September 2024
  68. Panda B, Leepsa NM (2017) Agency theory: review of theory and evidence on problems and perspectives. Indian J Corp Gov 10(1):74–95. https://doi.org/ 10.1177/0974686217701467
  69. Parker A (2022) Artificial intelligence pros and cons–key points. https://www. machinelearningpro.org. Accessed 26 September, 2024
  70. Puthukulam G, Ravikumar A, Sharma RV, Meesaala KM (2021) Auditors’ per- ception on the impact of artificial intelligence on professional skepticism and judgment in Oman. Uni J Acc Financ 9(5):1184–1190. https://doi.org/10. 13189/ujaf.2021.090527
  71. PwC (2017). Spotlight: Robotic Process Automation (RPA) What Tax Needs to Know Now. https://www.pwc.com
  72. Q.ai-Contributor-Group (2022) The pros and cons of artificial intelligence. https:// www.forbes.com. Accessed 1 October 2024
  73. Rad MS, Nilashi M, Dahlan HM (2018) Information technology adoption: a review of the literature and classification. Univers Access Inf Soc 17(2):361–390. https://doi.org/10.1007/s10209-017-0534-z
  74. Reddy, P. S., Yasaswi, K. R. K., & Kumar, B. K. (2019). Accounting Intelligence—The New Era in Accounting. Journal of Information and Computational Science, 9, 692-697. http://www.joics.org/gallery/ics-1569.pdf
  75. Rehmanand A, Hashim F (2022) Can internal audit function impact artificial intelligence? Case of public listed companies of Oman. Proceedings of the 5th Innovation and Analytics Conference and Exhibition, Kedah, Malaysia. https://doi.org/10.1063/5.0092755
  76. Rezaee, Z., Sharbatoghlie, A., Elam, R., & McMickle, P. L. (2002). Continuous Auditing: Building Automated Auditing Capability. Auditing: A Journal of Practice & Theory, 21, 147-163. https://doi.org/10.2308/aud.2002.21.1.147 s11023-021-09577-4
  77. Sadoughi F, Khodaveisi T, Ahmadi H (2019) The used theories for the adoption of electronic health record: a systematic literature review. Health Technol 9(4):383–400. https://doi.org/10.1007/s12553-018-0277-8
  78. Seethamraju R, Hecimovic A (2022) Adoption of artificial intelligence in auditing: an exploratory study. Aust J Manag 00(0):1–21. https://doi.org/10.1177/ 03128962221108440
  79. Silva A, Jorge S, Rodrigues LL (2021) Enforcement and accounting quality in the context of IFRS: Is there a gap in the literature? Int J Acc Inf Manag 29(3):1834–7649. https://doi.org/10.1108/IJAIM-08-2020-0126
  80. Snyder, H. (2019). Literature Review as a Research Methodology: An Overview and Guidelines. Journal of Business Research, 104, 333-339. https://doi.org/10.1016/j.jbusres.2019.07.039
  81. Stancheva-Todorova, E. P. (2018). How Artificial Intelligence Is Challenging Accounting Profession. International Scientific Publications, 12, 126-141. https://ideas.repec.org/a/isp/journl/v12y2018i1p126-141.html
  82. Tableau (2021) What are the advantages and disadvantages of artificial intelligence (AI)? https://www.tableau.com. Accessed 29 September 2024
  83. Tiron-Tudor A, Deliu D, Farcane N, Dontu A (2021) Managing change with and through block chain in accountancy organizations: a systematic literature review. J Organ Chang Manag 34(2):477–506. https://doi.org/10.1108/JOCM- 10-2020-0302
  84. Tomás, A. S. (1998). Artificial Intelligence in Accounting and Auditing: Towards New Paradigms (Vol. 4) (Rutgers Series in Accounting Information Systems). Marcus Wiener
  85. Tone at the Top (2017, December). Artificial Intelligence: The Future for Internal Audit- ing. Global Institute of Internal Auditors. https://global.theiia.org/knowledge/Public%20Documents/Tone-at-the-Top-December
  86. Tornatzky LG, Fleischer M (1990) The processes of technological innovation
  87. Ucoglu, D. (2020). Current Machine Learning Applications in Accounting and Auditing
  88. Ukpong, E. G., Udoh, I. I., & Essien, I. T. (2019). Artificial Intelligence: Opportunities, Issues and Applications in Banking, Accounting, and Auditing in Nigeria. Asian Jour- nal of Economics, Business and Accounting, 10, 1-6. https://doi.org/10.9734/ajeba/2019/v10i130099
  89. Westland JC (2020) Predicting credit card fraud with Sarbanes-Oxley assessments and Fama-French risk factors. Intel Sys Acc Finance Manag 27(2):95–107. https://doi.org/10.1002/isaf.1472
  90. Wilson E, Kenny A, Dickson-Swift V (2015). Using blogs as a qualitative health research tool: a scoping review. Int J Qual Methods 14(5). https://doi.org/10. 1177/1609406915618049
  91. Xavier OC, Pires SR, Marques TC, Soares AD (2022) Tax evasion identification using open data and artificial intelligence. Braz J Pub Admin 56(3):426–440. https://doi.org/10.1590/0034-761220210256x
  92. Yakimova VA (2020) Opportunities and prospects for using digital technologies in auditing. Activities Innov Dig Econ 36(2):287–318. https://doi.org/10.21638
  93. Yang, D. C., & Vasarhelyi, M. A. (1995). The Application of Expert Systems in Account- ing. http://raw.rutgers.edu/MiklosVasarhelyi/Resume%20Articles/CHAPTERS%20IN%20B OOKS/C10.%20expert%20systems%20app%20in%20act.pdf
  94. Zemánková, A. (2019). Artificial Intelligence and Blockchain in Audit and Accounting: Literature Review. WSEAS Transactions on Business and Economics, 16, 568-581. https://www.wseas.org/multimedia/journals/economics/2019/b245107-089.pdf
  95. Zhang G, Atasoy H, Vasarhelyi MA (2022) Continuous monitoring with machine learning and interactive data visualization: An application to a healthcare payroll process. Int J Acc Inf Syst 46:1–10. https://doi.org/10.1016/j.accinf.2022.100570
  96. Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The Impact of Artificial Intelli- gence and Blockchain on the Accounting Profession. IEEE Access, 8, 110461-110477. https://doi.org/10.1109
  97. Zhao, N., Yen, D. C., & Chang, I. (2004). Auditing in the e-Commerce Era. Information Management & Computer Security, 12, 389-400. https://doi.org/10.1108/09685220410563360
  98. Zhou G (2021) Research on the problems of enterprise internal audit under the background of artificial intelligence. Proceedings of the 5th International Workshop on Advanced Algorithms and Control Engineering, Zhuhai, China. https://doi.org/10.1088/1742-6596/1861/1/012051. Accessed 1st October, 2024

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