Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)

Opportunities and Challenges of Artificial Intelligence in the Application of Taxation System

Authors
Lingyan Zhou
Corresponding Author
Lingyan Zhou
Available Online 20 December 2019.
DOI
10.2991/aebmr.k.191217.038How to use a DOI?
Keywords
Artificial intelligence, Taxation system, Risk
Abstract

The construction of the tax intelligent system contributes to the efficient handling of tax-related matters and the monitoring of tax risks. It also helps to standardize taxation behaviors, reduce human-induced judgment standards, and reduce administrative costs. The application of artificial intelligence in the taxation system has brought about governance problems. China should establish an artificial intelligence development governance system and improve the intelligent development legal system.

Copyright
© 2019, 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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Volume Title
Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
20 December 2019
ISBN
10.2991/aebmr.k.191217.038
ISSN
2352-5428
DOI
10.2991/aebmr.k.191217.038How to use a DOI?
Copyright
© 2019, 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/).

Cite this article

TY  - CONF
AU  - Lingyan Zhou
PY  - 2019
DA  - 2019/12/20
TI  - Opportunities and Challenges of Artificial Intelligence in the Application of Taxation System
BT  - Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
PB  - Atlantis Press
SP  - 201
EP  - 206
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191217.038
DO  - 10.2991/aebmr.k.191217.038
ID  - Zhou2019
ER  -