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Ethical impact of artificial intelligence in managerial accounting

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  • Zhang, Chao
  • Zhu, Weidong
  • Dai, Jun
  • Wu, Yong
  • Chen, Xulong

Abstract

Recent advances in technology have accelerated digitalization and intelligence in modern business. Particularly, the increasing use of Artificial Intelligence (AI) in managerial accounting is expected to accurately measure corporate performance, provide intelligent analyses, and predict the future of a company. However, along with the benefits, ethical concerns of using AI also arise, such as deprofessionalization, data breach, and isolation among accountants. This paper explores the ethical impact of AI in managerial accounting at both pre- and post-adoption stages. Based on 47 interviews conducted with companies, an AI system vendor, and regulators, we found that data security, privacy, and misuse; accountability; accessibility; benefits and challenges; and transparency and trust of AI are among the most common ethical risks in the development and use of AI in managerial accounting. Unique ethical impacts on four types of stakeholders: developers, managers in charge of AI adoption, managerial accountants, and regulators, were also discovered.

Suggested Citation

  • Zhang, Chao & Zhu, Weidong & Dai, Jun & Wu, Yong & Chen, Xulong, 2023. "Ethical impact of artificial intelligence in managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    • Handle: RePEc:eee:ijoais:v:49:y:2023:i:c:s1467089523000118
    DOI: 10.1016/j.accinf.2023.100619
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    References listed on IDEAS

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    1. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    2. Granlund, Markus, 2011. "Extending AIS research to management accounting and control issues: A research note," International Journal of Accounting Information Systems, Elsevier, vol. 12(1), pages 3-19.
    3. Ittner, Christopher D. & Larcker, David F., 2001. "Assessing empirical research in managerial accounting: a value-based management perspective," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 349-410, December.
    4. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    5. Appelbaum, Deniz & Kogan, Alexander & Vasarhelyi, Miklos & Yan, Zhaokai, 2017. "Impact of business analytics and enterprise systems on managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 29-44.
    6. Alles, Michael, 2020. "Using the 2019 JBE conference and 2017 JIS themed issue as natural experiments to examine the role of editors as gatekeepers of the research literature in AIS and ethics," International Journal of Accounting Information Systems, Elsevier, vol. 39(C).
    7. Amani, Farzaneh A. & Fadlalla, Adam M., 2017. "Data mining applications in accounting: A review of the literature and organizing framework," International Journal of Accounting Information Systems, Elsevier, vol. 24(C), pages 32-58.
    8. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    9. Lee, Jessica & Elbashir, Mohamed Z. & Mahama, Habib & Sutton, Steve G., 2014. "Enablers of top management team support for integrated management control systems innovations," International Journal of Accounting Information Systems, Elsevier, vol. 15(1), pages 1-25.
    10. Kexing Ding & Baruch Lev & Xuan Peng & Ting Sun & Miklos A. Vasarhelyi, 2020. "Machine learning improves accounting estimates: evidence from insurance payments," Review of Accounting Studies, Springer, vol. 25(3), pages 1098-1134, September.
    11. Elizabeth Johnson & Matthew Petersen & Joshua Sloan & Adrian Valencia, 2021. "The Interest, Knowledge, And Usage Of Artificial Intelligence In Accounting: Evidence From Accounting Professionals," Accounting & Taxation, The Institute for Business and Finance Research, vol. 13(1), pages 45-58.
    12. Alles, Michael & Gray, Glen L., 2016. "Incorporating big data in audits: Identifying inhibitors and a research agenda to address those inhibitors," International Journal of Accounting Information Systems, Elsevier, vol. 22(C), pages 44-59.
    13. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
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