Reliability of Electronic Evidence: An application for model-based auditing

Rob Christiaanse, Paul Griffioen, Joris Hulstijn

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Much legal evidence is being generated by and stored in information systems. In this paper we look at evidence from an auditing point of view. Auditors rely on evidence of the party being audited, who may have a legitimate or illegitimate interest to manipulate it. To assess the quality of audit evidence, we argue for an approach called model-based auditing. It is based on a mathematically precise model of the expected relationships between the flow of money and the flow of goods or services. Such equations are used for cross verification. If the equations do not hold, either something is wrong (violation) or some underlying assumption is false (exception). To show the usefulness of the approach, we look in particular at a case study of a legal dispute about automated contract monitoring. A precise revenue model is instrumental in demonstrating that the data set does indeed constitute appropriate evidence to settle the case.

Original languageEnglish
Title of host publication15th International Conference on Artificial Intelligence and Law - Proceedings
PublisherAssociation for Computing Machinery
Pages43-52
Number of pages10
ISBN (Electronic)9781450335225
DOIs
Publication statusPublished - 8 Jun 2015
Externally publishedYes
Event15th International Conference on Artificial Intelligence and Law, ICAIL 2015 - San Diego, United States
Duration: 8 Jun 201512 Jun 2015

Publication series

NameProceedings of the International Conference on Artificial Intelligence and Law
Volume08-12-June-2015

Conference

Conference15th International Conference on Artificial Intelligence and Law, ICAIL 2015
Country/TerritoryUnited States
CitySan Diego
Period8/06/1512/06/15

Bibliographical note

Publisher Copyright:
© 2015 ACM.

Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.

Keywords

  • Auditing
  • Electronic evidence

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