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  • 标题:The Impact of Artificial Intelligence Technologies on Audit Evidence
  • 本地全文:下载
  • 作者:Shaher Falah Al-Aroud
  • 期刊名称:Academy of Accounting and Financial Studies Journal
  • 印刷版ISSN:1096-3685
  • 出版年度:2020
  • 卷号:24
  • 期号:2
  • 页码:1-11
  • 语种:English
  • 出版社:The DreamCatchers Group, LLC
  • 摘要:Technologies of Artificial Intelligence (AI) are critical for future of the auditing profession. These technologies are actually vital tools that provide the auditing professionals with the means necessary for increasing the effectiveness and efficiency of their jobs. The aim of this study is to examine the effect of artificial intelligence technologies on audit evidence, from the point of view of certified auditors in IT companies in Jordan. Descriptive research design was adopted in the study among 314 auditors. Structured questionnaire was used to obtain the information needed for the study. The Findings of the study showed include that expert system has a significant effect on the audit evidence. Neural network technology has not significant effect on the audit evidence. The study recommended increased interest in artificial intelligence technologies by audit offices operating in Jordan because of its scientific importance in improving the collection of audit evidence..
  • 关键词:Artificial Intelligence Technologies;Audit Evidence
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