Does Artificial Intelligence Represent a Threat to the Accounting Profession?

Veledar Benina (), Bašić Meliha (), Demirović Lejla () and Beširević Esma ()
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Veledar Benina: University of Sarajevo, School of Economics and Business Sarajevo
Bašić Meliha: University of Sarajevo, School of Economics and Business Sarajevo
Demirović Lejla: University of Sarajevo, School of Economics and Business Sarajevo
Beširević Esma: Master in Accounting and Auditing, University of Sarajevo, School of Economics and Business Sarajevo

Journal of Forensic Accounting Profession, 2024, vol. 4, issue 2, 67-85

Abstract: This paper investigates the impact of artificial intelligence (hereinafter AI) on the accounting profession, emphasizing the need to adapt educational programs and business practices due to the emergence and development of AI technologies. A qualitative method with the help of a semi-structured interview was used to collect primary data. The participants were professionals in the accounting and information technology field who have the relevant knowledge and experience to consider this topic. The research aimed to discover the main problems that may arise when implementing artificial intelligence in the accounting profession, to determine how AI technologies affect the quality of financial reports, and whether education reform in accounting is needed due to the emergence of AI technologies. The results of the conducted research showed that AI technology will find its application in the accounting profession, that the quality of the financial report generated based on AI technology depends on the quality of the entered data, i.e. that the control function of accountants is of crucial importance, and that it is necessary to reform curricula in the context of exploiting the benefits of AI technologies.

Keywords: artificial intelligence (AI); the accounting profession; educational programs; business practices; Bosnia and Herzegovina (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:jfaccp:v:4:y:2024:i:2:p:67-85:n:1005

DOI: 10.2478/jfap-2024-0010

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