Open AccessTalent Training Model of Auditing under the Background of Artificial Intelligence
Author(s) -
Zhe Wang,
Yanqing Lin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/3/032075
Subject(s) - audit , context (archaeology) , training (meteorology) , work (physics) , knowledge management , information security audit , engineering management , engineering , business , computer science , accounting , information security , computer security , mechanical engineering , paleontology , physics , security service , meteorology , network security policy , biology
With the continuous development of computer technology and the comprehensive popularization of accounting information systems, more and more accounting and auditing work is being completed by increasingly mature artificial intelligence. The development of artificial intelligence will not only have a significant impact on practitioners in the auditing industry, but also have a revolutionary impact on the talent training of auditing in colleges and universities. This paper first introduces the impact of artificial intelligence on the auditing industry and higher education; then analyzes the problems faced by the talent training of auditing in the context of artificial intelligence; finally, it proposes reform suggestions for the training of auditing professionals.