Analysis on Improvement of Internal Audit in China’s Listed Companies Based on Artificial Intelligence
Enzhu Li, Hongshan Xu, Guannan Li
Available Online 6 April 2020.
- https://doi.org/10.2991/aebmr.k.200402.004How to use a DOI?
- internal audit, deficiency, artificial intelligence, suggestion, listed companies
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/aebmr.k.200402.004 ID - Li2020 ER -