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Denetimde Yapay Zekâ Kullanımının Denetçiler Üzerindeki Olası Etkileri

Yıl 2024, Cilt: 25 Sayı: 54, 113 - 139, 30.06.2024

Öz

Organizasyonlarda süreç yönetimlerine özel bir önem atfedilir. Bu önemi çoğunlukla hız ve zamanlılık belirlemektedir. Zaman israfının önüne geçmek, verilerin eş zamanlı işlem ve kontrolden geçirilmesi, doğruluğunun test edilmesi, derinlemesine süreç analizlerinin yapılması gibi değer yaratıcı görevler işletmeleri bilişim teknolojilerindeki gelişmelere, özellikle Yapay Zekâya (YZ) yönelik araştırmalara odaklamaktadır. Global denetim şirketlerinin risk değerlendirme, denetim süreç planlaması, işlem doğrulama ve sınama, çalışma kağıtlarının oluşturulması, envanter sayımı gibi görev adımlarında YZ’yi süreçlere dahil ettiği ve yenilikçi yaklaşımlara yatırım yaptıkları görülmektedir. Bu derleme çalışmasında, denetim alanında teknoloji kullanımı ve yazılım uygulamalarıyla ilgili literatürde yayınlanmış çalışmalar taranmış ve güncel bir teknoloji olarak YZ kullanımına ilişkin yapılan çalışmalar ışığında YZ teknolojisinin kullanımının denetçilere olası etkileri hakkında değerlendirmeler yapılmıştır. YZ teknolojisi denetim çalışmalarında görece olumsuz etkiler çağrıştırsa da mesleğin geleceği için kullanışlı bir teknoloji olacağını göstermektedir. Denetim mesleğinde ihtiyaç duyulan teknolojik gereksinimleri karşılayarak yürütülecek faaliyetlerde etkinlik kazanacağı ve denetimde verimliliği artıracağı büyük oranda beklenmektedir. Öte yandan, denetçiler için, YZ teknolojilerinin hız kesmeden gelişmeye devam etmesi muhtemel birtakım endişeleri de tartışmaya açmaktadır. Bu endişelerin başında çalışma yöntemi ve personel ihtiyacı ve talep piyasasındaki olası değişimler gelirken kaygı verici mesleki, toplumsal etik sorunlar da olacağı ön görülmektedir.

Kaynakça

  • Abdullah, K. A. K. (2021). The Impact of Artificial Intelligence in Auditing and Accounting Decision Making. ACCA. (2017). Professional accountants – the future: Ethics and trust in a digital age. ACCA, the Association of Chartered Certified Accountants. Retrieved 25.11.2022 from https://www.accaglobal.com/content/dam/ACCAGlobal/Technical/Futur e/pi-ethic s-trust -digit al-age.pdf.
  • ACCA. (2019). Audit and Technology. In: ACCA.
  • Al-Sayyed, S., Al-Aroud, S., ve Zayed, L. (2021). The effect of artificial intelligence technologies on audit evidence. Accounting, 7(2), 281-288.
  • Albawwat, I., ve Frijat, Y. (2021). An analysis of auditors’ perceptions towards artificial intelligence and its contribution to audit quality. Accounting, 7(4), 755-762.
  • Alliott. (2017). Alliott Group Worldwide Conference Highlights How Mid-Market Firms Can Win in Rapidly Changing Professional Services Market 30 October 2017. AlliottGlobalAlliance. Retrieved 12.10.2022 from https://www.alliottglobal.com/news/2017-worldwide-conference-report/
  • Austin, A. A., Carpenter, T. D., Christ, M. H., ve Nielson, C. S. (2021). The data analytics journey: Interactions among auditors, managers, regulation, and technology. Contemporary Accounting Research, 38(3), 1888-1924.
  • Bai, G.-h. (2017). Research on the Application and Influence of Auditing Artificial Intelligence. DEStech Transactions on Social Science, Education and Human Science,(eiem).
  • Baldwin, A. A., Brown, C. E., ve Trinkle, B. S. (2006). Opportunities for artificial intelligence development in the accounting domain: the case for auditing. Intelligent Systems in Accounting, Finance & Management: International Journal, 14(3), 77-86.
  • Brougham, D., ve Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management & Organization, 24(2), 239-257.
  • Brown-Liburd, H., Issa, H., ve Lombardi, D. (2015). Behavioral implications of Big Data's impact on audit judgment and decision making and future research directions. Accounting Horizons, 29(2), 451-468.
  • Bryan, J. (2019). Why Audit Leaders Need to Implement RPA. In: ACCA.
  • Cahyadi, N., ve van der Wal, R. (2020). A case study on the Big 4 Firms: Impact of Artificial Intelligence on the work of external auditors.
  • Cui, J., ve Robertson, J. C. (2022). The Effects of the Use of Artificial Intelligence and Task Complexity on Auditor Liability. Available at SSRN 4038554.
  • Frey, C. B., ve Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological forecasting and social change, 114, 254-280.
  • Greenman, C. (2017). Exploring the impact of artificial intelligence on the accounting profession. Journal of Research in Business, Economics and Management, 8(3), 1451.
  • Hammond, K. (2016). Five Unexpected Sources of Bias in Artificial Intelligence [Article]. (12.12.2022). Retrieved 12.12.2022, from https://techcrunch.com/2016/12/10/5-unexpected-sources-of-bias-in-artificial-intelligence/ ICAEW. (2018). Artificial intelligence and the future of accountancy. In: Chartered Accountants’ Hall Moorgate Place London.
  • Kazim, E., Denny, D. M. T., ve Koshiyama, A. (2021). AI auditing and impact assessment: according to the UK information commissioner’s office. AI and Ethics, 1(3), 301-310.
  • Khan, R., Adi, E., ve Hussain, O. (2021). AI-based audit of fuzzy front end innovation using ISO56002. Managerial Auditing Journal. https://doi.org/10.1108/MAJ-03-2020-2588.
  • Kokina, J., ve Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115-122.
  • Libby, R., ve Witz, P. (2020). Can Automation Reduce the Effect of Independence Conflicts on Audit Firm Liability? Available at SSRN 3734629.
  • Munoko, I., Brown-Liburd, H. L., ve Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209-234.
  • Osoba, O. A., ve Welser IV, W. (2017). An intelligence in our image: The risks of bias and errors in artificial intelligence. Rand Corporation.
  • Plumlee, R. D., Rixom, B. A., ve Rosman, A. J. (2015). Training auditors to perform analytical procedures using metacognitive skills. The Accounting Review, 90(1), 351-369.
  • PwC. (2017). Sizing the prize What’s the real value of AI for your business and how can you capitalise? https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf Raphael, J. (2015). How Artificial Intelligence Can Boost Audit Quality. CFO.com owned by Industry Dive. Retrieved 21.10.2022 from https://www.cfo.com/accounting-tax/2015/06/artificial-intelligence-can-boost-audit-quality/
  • Raphael, J. (2017). Rethinking the audit Innovation is transforming how audits are conducted—and even what it means to be an auditor. Retrieved 31.10.2022, from https://www.journalofaccountancy.com/issues/2017/apr/rethinking-the-audit.html.
  • Raschke, R. L., Saiewitz, A., Kachroo, P., ve Lennard, J. B. (2018). AI-enhanced audit inquiry: A research note. Journal of Emerging Technologies in Accounting, 15(2), 111-116.
  • Richins, G., Stapleton, A., Stratopoulos, T. C., ve Wong, C. (2017). Big data analytics: opportunity or threat for the accounting profession? Journal of Information Systems, 31(3).
  • Rozario, A., Zhang, A., ve Vasarhelyi, M. (2019). Examining automation in audit. IFAC. https://www.ifac.org/knowledgegateway/preparing-future-ready-professionals/discussion/examining-automation-audit, accessed on, 15, 2021.
  • Seow, P.-S. (2011). The effects of decision aid structural restrictiveness on decision-making outcomes. International Journal of Accounting Information Systems, 12(1), 40-56.
  • Serçemeli, M. (2018). Muhasebe ve Denetim Mesleklerinin Dijital Dönüşümünde Yapay Zekâ. Electronic Turkish Studies, 13(30).
  • Shaw, J. (2019). Artificial intelligence and ethics. Harvard Magazine, 30. /https://cs.brown.edu/courses/csci1800/sources/2019_JanFeb_HarvardMagazine_ConfrontingPitfallsOfMachineLearning.pdf
  • Srinivasan, V. (2016). The intelligent enterprise in the era of big data. John Wiley & Sons.
  • Usnews. (2016). U.S. News & World Report Announces the 2016 Best Jobs. U.S. News & World Report L.P. Retrieved 21.10.2022 from https://www.usnews.com/info/blogs/press-room/2016/01/26/us-news-announces-the-2016-best-jobs.
  • Wilson, H. J., ve Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard business review, 96(4), 114-123.
  • Zemankova, A. (2019). Artificial Intelligence in Audit and Accounting: Development, Current Trends, Opportunities and Threats-Literature Review. 2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO).

Possible Effects of the Use of Artificial Intelligence in Auditing on Auditors

Yıl 2024, Cilt: 25 Sayı: 54, 113 - 139, 30.06.2024

Öz

In organizations, special emphasis is placed on process management, often determined by speed and timeliness. This importance leads to a focus on research in information technologies, especially Artificial Intelligence (AI), to prevent time wastage, process data simultaneously, test its accuracy, and conduct in-depth process analysis. AI, intended as a design based on copying and implementing human skills and mental abilities, has the potential to make a difference in this regard. It is observed that global audit firms include AI in processes such as risk assessment, audit process planning, transaction verification and testing, creation of working papers, and inventory counting, and invest in innovative approaches in this field. This review study scans the literature published on the use of technology and software applications in the audit field and examines the chronological process of AI. Evaluations are made regarding the potential effects of AI use on auditors based on studies conducted on the use of AI technology, indicating that although AI technology may suggest relatively negative effects on audit work, it will be a useful technology for the future of the profession. It is largely expected to gain efficiency in activities to be carried out by meeting the technological requirements needed in the audit profession and to increase efficiency in audit. However, the continuous development of AI technologies raises some concerns for auditors. Among these concerns are potential changes in working methods and personnel needs, as well as worrying professional and societal ethical issues.

Kaynakça

  • Abdullah, K. A. K. (2021). The Impact of Artificial Intelligence in Auditing and Accounting Decision Making. ACCA. (2017). Professional accountants – the future: Ethics and trust in a digital age. ACCA, the Association of Chartered Certified Accountants. Retrieved 25.11.2022 from https://www.accaglobal.com/content/dam/ACCAGlobal/Technical/Futur e/pi-ethic s-trust -digit al-age.pdf.
  • ACCA. (2019). Audit and Technology. In: ACCA.
  • Al-Sayyed, S., Al-Aroud, S., ve Zayed, L. (2021). The effect of artificial intelligence technologies on audit evidence. Accounting, 7(2), 281-288.
  • Albawwat, I., ve Frijat, Y. (2021). An analysis of auditors’ perceptions towards artificial intelligence and its contribution to audit quality. Accounting, 7(4), 755-762.
  • Alliott. (2017). Alliott Group Worldwide Conference Highlights How Mid-Market Firms Can Win in Rapidly Changing Professional Services Market 30 October 2017. AlliottGlobalAlliance. Retrieved 12.10.2022 from https://www.alliottglobal.com/news/2017-worldwide-conference-report/
  • Austin, A. A., Carpenter, T. D., Christ, M. H., ve Nielson, C. S. (2021). The data analytics journey: Interactions among auditors, managers, regulation, and technology. Contemporary Accounting Research, 38(3), 1888-1924.
  • Bai, G.-h. (2017). Research on the Application and Influence of Auditing Artificial Intelligence. DEStech Transactions on Social Science, Education and Human Science,(eiem).
  • Baldwin, A. A., Brown, C. E., ve Trinkle, B. S. (2006). Opportunities for artificial intelligence development in the accounting domain: the case for auditing. Intelligent Systems in Accounting, Finance & Management: International Journal, 14(3), 77-86.
  • Brougham, D., ve Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management & Organization, 24(2), 239-257.
  • Brown-Liburd, H., Issa, H., ve Lombardi, D. (2015). Behavioral implications of Big Data's impact on audit judgment and decision making and future research directions. Accounting Horizons, 29(2), 451-468.
  • Bryan, J. (2019). Why Audit Leaders Need to Implement RPA. In: ACCA.
  • Cahyadi, N., ve van der Wal, R. (2020). A case study on the Big 4 Firms: Impact of Artificial Intelligence on the work of external auditors.
  • Cui, J., ve Robertson, J. C. (2022). The Effects of the Use of Artificial Intelligence and Task Complexity on Auditor Liability. Available at SSRN 4038554.
  • Frey, C. B., ve Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological forecasting and social change, 114, 254-280.
  • Greenman, C. (2017). Exploring the impact of artificial intelligence on the accounting profession. Journal of Research in Business, Economics and Management, 8(3), 1451.
  • Hammond, K. (2016). Five Unexpected Sources of Bias in Artificial Intelligence [Article]. (12.12.2022). Retrieved 12.12.2022, from https://techcrunch.com/2016/12/10/5-unexpected-sources-of-bias-in-artificial-intelligence/ ICAEW. (2018). Artificial intelligence and the future of accountancy. In: Chartered Accountants’ Hall Moorgate Place London.
  • Kazim, E., Denny, D. M. T., ve Koshiyama, A. (2021). AI auditing and impact assessment: according to the UK information commissioner’s office. AI and Ethics, 1(3), 301-310.
  • Khan, R., Adi, E., ve Hussain, O. (2021). AI-based audit of fuzzy front end innovation using ISO56002. Managerial Auditing Journal. https://doi.org/10.1108/MAJ-03-2020-2588.
  • Kokina, J., ve Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115-122.
  • Libby, R., ve Witz, P. (2020). Can Automation Reduce the Effect of Independence Conflicts on Audit Firm Liability? Available at SSRN 3734629.
  • Munoko, I., Brown-Liburd, H. L., ve Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209-234.
  • Osoba, O. A., ve Welser IV, W. (2017). An intelligence in our image: The risks of bias and errors in artificial intelligence. Rand Corporation.
  • Plumlee, R. D., Rixom, B. A., ve Rosman, A. J. (2015). Training auditors to perform analytical procedures using metacognitive skills. The Accounting Review, 90(1), 351-369.
  • PwC. (2017). Sizing the prize What’s the real value of AI for your business and how can you capitalise? https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf Raphael, J. (2015). How Artificial Intelligence Can Boost Audit Quality. CFO.com owned by Industry Dive. Retrieved 21.10.2022 from https://www.cfo.com/accounting-tax/2015/06/artificial-intelligence-can-boost-audit-quality/
  • Raphael, J. (2017). Rethinking the audit Innovation is transforming how audits are conducted—and even what it means to be an auditor. Retrieved 31.10.2022, from https://www.journalofaccountancy.com/issues/2017/apr/rethinking-the-audit.html.
  • Raschke, R. L., Saiewitz, A., Kachroo, P., ve Lennard, J. B. (2018). AI-enhanced audit inquiry: A research note. Journal of Emerging Technologies in Accounting, 15(2), 111-116.
  • Richins, G., Stapleton, A., Stratopoulos, T. C., ve Wong, C. (2017). Big data analytics: opportunity or threat for the accounting profession? Journal of Information Systems, 31(3).
  • Rozario, A., Zhang, A., ve Vasarhelyi, M. (2019). Examining automation in audit. IFAC. https://www.ifac.org/knowledgegateway/preparing-future-ready-professionals/discussion/examining-automation-audit, accessed on, 15, 2021.
  • Seow, P.-S. (2011). The effects of decision aid structural restrictiveness on decision-making outcomes. International Journal of Accounting Information Systems, 12(1), 40-56.
  • Serçemeli, M. (2018). Muhasebe ve Denetim Mesleklerinin Dijital Dönüşümünde Yapay Zekâ. Electronic Turkish Studies, 13(30).
  • Shaw, J. (2019). Artificial intelligence and ethics. Harvard Magazine, 30. /https://cs.brown.edu/courses/csci1800/sources/2019_JanFeb_HarvardMagazine_ConfrontingPitfallsOfMachineLearning.pdf
  • Srinivasan, V. (2016). The intelligent enterprise in the era of big data. John Wiley & Sons.
  • Usnews. (2016). U.S. News & World Report Announces the 2016 Best Jobs. U.S. News & World Report L.P. Retrieved 21.10.2022 from https://www.usnews.com/info/blogs/press-room/2016/01/26/us-news-announces-the-2016-best-jobs.
  • Wilson, H. J., ve Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard business review, 96(4), 114-123.
  • Zemankova, A. (2019). Artificial Intelligence in Audit and Accounting: Development, Current Trends, Opportunities and Threats-Literature Review. 2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO).
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Uluslararası İşletmecilik
Bölüm Derleme Makale
Yazarlar

Çağlar Ayyayla 0000-0001-6545-8977

Yayımlanma Tarihi 30 Haziran 2024
Gönderilme Tarihi 4 Nisan 2024
Kabul Tarihi 29 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 25 Sayı: 54

Kaynak Göster

APA Ayyayla, Ç. (2024). Denetimde Yapay Zekâ Kullanımının Denetçiler Üzerindeki Olası Etkileri. Sosyal Ve Beşeri Bilimler Araştırmaları Dergisi, 25(54), 113-139.

Sosyal ve Beşeri Bilimler Araştırmaları Dergisi (SOBBİAD) Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı CC BY-NC 4.0 ile lisanslanmıştır.