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Man Versus Machine: Complex Estimates and Auditor Reliance on Artificial Intelligence

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  • BENJAMIN P. COMMERFORD
  • SEAN A. DENNIS
  • JENNIFER R. JOE
  • JENNY W. ULLA

Abstract

Audit firms are investing billions of dollars to develop artificial intelligence (AI) systems that will help auditors execute challenging tasks (e.g., evaluating complex estimates). Although firms assume AI will enhance audit quality, a growing body of research documents that individuals often exhibit “algorithm aversion”—the tendency to discount computer‐based advice more heavily than human advice, although the advice is identical otherwise. Therefore, we conduct an experiment to examine how algorithm aversion manifests in auditor judgments. Consistent with theory, we find that auditors receiving contradictory evidence from their firm's AI system (instead of a human specialist) propose smaller adjustments to management's complex estimates, particularly when management develops their estimates using relatively objective (vs. subjective) inputs. Our findings suggest auditor susceptibility to algorithm aversion could prove costly for the profession and financial statements users.

Suggested Citation

  • Benjamin P. Commerford & Sean A. Dennis & Jennifer R. Joe & Jenny W. Ulla, 2022. "Man Versus Machine: Complex Estimates and Auditor Reliance on Artificial Intelligence," Journal of Accounting Research, Wiley Blackwell, vol. 60(1), pages 171-201, March.
    • Handle: RePEc:bla:joares:v:60:y:2022:i:1:p:171-201
    DOI: 10.1111/1475-679X.12407
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    1. Choudhary, Preeti, 2011. "Evidence on differences between recognition and disclosure: A comparison of inputs to estimate fair values of employee stock options," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 77-94.
    2. Kathryn Kadous & Lisa Koonce & Kristy L. Towry, 2005. "Quantification and Persuasion in Managerial Judgement," Contemporary Accounting Research, John Wiley & Sons, vol. 22(3), pages 643-686, September.
    3. Choudhary, Preeti, 2011. "Evidence on differences between recognition and disclosure: A comparison of inputs to estimate fair values of employee stock options," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 77-94, February.
    4. Hirst, De, 1994. "Auditors Sensitivity To Source Reliability," Journal of Accounting Research, Wiley Blackwell, vol. 32(1), pages 113-126.
    5. Bamber, Em, 1983. "Expert Judgment In The Audit Team - A Source Reliability Approach," Journal of Accounting Research, Wiley Blackwell, vol. 21(2), pages 396-413.
    6. Zimbelman, MF & Waller, WS, 1999. "An experimental investigation of auditor-auditee interaction under ambiguity," Journal of Accounting Research, Wiley Blackwell, vol. 37, pages 135-155.
    7. Stephen K. Asare & Arnold M. Wright, 2004. "The Effectiveness of Alternative Risk Assessment and Program Planning Tools in a Fraud Setting," Contemporary Accounting Research, John Wiley & Sons, vol. 21(2), pages 325-352, June.
    8. Kevin K. Li & Richard G. Sloan, 2017. "Has goodwill accounting gone bad?," Review of Accounting Studies, Springer, vol. 22(2), pages 964-1003, June.
    9. Saiewitz, Aaron & Kida, Thomas, 2018. "The effects of an auditor's communication mode and professional tone on client responses to audit inquiries," Accounting, Organizations and Society, Elsevier, vol. 65(C), pages 33-43.
    10. Jeremy B. Griffin, 2014. "The Effects of Uncertainty and Disclosure on Auditors' Fair Value Materiality Decisions," Journal of Accounting Research, Wiley Blackwell, vol. 52(5), pages 1165-1193, December.
    11. Andrew S. Hilton & Patricia C. O'Brien, 2009. "Inco Ltd.: Market Value, Fair Value, and Management Discretion," Journal of Accounting Research, Wiley Blackwell, vol. 47(1), pages 179-211, March.
    12. Emily E. Griffith, 2020. "Auditors, Specialists, and Professional Jurisdiction in Audits of Fair Values†," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 245-276, March.
    13. 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.
    14. Dechow, Patricia M. & Myers, Linda A. & Shakespeare, Catherine, 2010. "Fair value accounting and gains from asset securitizations: A convenient earnings management tool with compensation side-benefits," Journal of Accounting and Economics, Elsevier, vol. 49(1-2), pages 2-25, February.
    15. Margaret H. Christ & Scott A. Emett & Scott L. Summers & David A. Wood, 2021. "Prepare for takeoff: improving asset measurement and audit quality with drone-enabled inventory audit procedures," Review of Accounting Studies, Springer, vol. 26(4), pages 1323-1343, December.
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    7. Yi (Dale) Fu & Noel Harding & David C. Hay & Mohammad Jahanzeb Khan & Tom Scott & Harj Singh & Sarka Stepankova & Nigar Sultana, 2023. "Comments of the AFAANZ Auditing and Assurance Standards Committee on Proposed International Standard on Auditing 500 (Revised) Audit Evidence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4805-4812, December.

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