A Knowledge-Based Model of Audit Risk

Vasant Dhar, Barry Lewis, James Peters


Within the academic and professional auditing communities, there has been growing concern about how to accurately assess the various risks associated with performing an audit. These risks are difficult to conceptualize in terms of numeric estimates. This article discusses the development of a prototype computational model (computer program) that assesses one of the major audit risks -- inherent risk. This program bases most of its inferencing activities on a qualitative model of a typical business enterprise.

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DOI: https://doi.org/10.1609/aimag.v9i3.943

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