Analysis on Improvement of Internal Audit in China’s Listed Companies Based on Artificial Intelligence

DOI

10.2991/aebmr.k.200402.004How to use a DOI?

Keywords

internal audit, deficiency, artificial intelligence, suggestion, listed companies

Abstract

Based on the theoretical connotation of internal audit, this paper first states the major deficiencies in the execution of internal audit supervision of China’s listed companies. The main reasons of forming these deficiencies are also analyzed in depth. According to the development of artificial intelligence technology and the background of big data, the relevant suggestions to strengthen corporate audit supervision, recover internal audit deficiencies and improve internal audit system of China’s listed companies are proposed finally. It is hoped that this paper can provide a useful reference for the healthy development of internal audit supervision of China’s listed companies.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Enzhu Li
AU  - Hongshan Xu
AU  - Guannan Li
PY  - 2020
DA  - 2020/04/06
TI  - Analysis on Improvement of Internal Audit in China’s Listed Companies Based on Artificial Intelligence
BT  - Proceedings of the 3rd International Conference on Advances in Management Science and Engineering (IC-AMSE 2020)
PB  - Atlantis Press
SP  - 25
EP  - 30
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200402.004
DO  - 10.2991/aebmr.k.200402.004
ID  - Li2020
ER  -