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An Analysis of Potential Legal Liability Incurred Through Audit Expert Systems

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  • Steve G. Sutton
  • Ronald Young
  • Phyllis McKenzie

Abstract

The introduction of expert systems technology into the audit environment has opened a new avenue of auditor legal liability. This paper examines the potential impact expert systems will have on auditor liability. The presentation of this new avenue of auditors' legal liability explores both the potential for litigation under failure of auditor/expert system collaboration to yield prudent decisions and the failure to use an available expert system. The risks evolving from failure to use an available expert system include the possibility that the system could be used against the auditor in the courtroom. While case law will ultimately determine the bounds of this liability, this paper acquaints the reader with the important legal issues involved and the varied outcomes that could emerge. It should also be noted that while the specific example presented in this paper relates to the audit profession, the legal concepts are of equivalent concern to other professions enduring broad implementation of expert systems.

Suggested Citation

  • Steve G. Sutton & Ronald Young & Phyllis McKenzie, 1995. "An Analysis of Potential Legal Liability Incurred Through Audit Expert Systems," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 4(3), pages 191-204, September.
    • Handle: RePEc:wly:isacfm:v:4:y:1995:i:3:p:191-204
    DOI: 10.1002/j.1099-1174.1995.tb00091.x
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    Cited by:

    1. Vicky Arnold & Philip A. Collier & Stewart A. Leech & Steve G. Sutton, 2004. "Impact of intelligent decision aids on expert and novice decision‐makers’ judgments," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 44(1), pages 1-26, March.
    2. Gomaa, Mohamed I. & Hunton, James E. & Vaassen, Eddy H.J. & Carree, Martin A., 2011. "Decision aid reliance: Modeling the effects of decision aid reliability and pressures to perform on reliance behavior," International Journal of Accounting Information Systems, Elsevier, vol. 12(3), pages 206-224.
    3. Sutton, Steve G. & Arnold, Vicky & Collier, Phil & Leech, Stewart A., 2021. "Leveraging the synergies between design science and behavioral science research methods," International Journal of Accounting Information Systems, Elsevier, vol. 43(C).

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