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

Research on the Reform of Tax Collection and Management System by Artificial Intelligence Under the Background of “Intelligence+” Development Strategy

Authors
Liu Jing-Yi
Corresponding Author
Liu Jing-Yi
Available Online 20 December 2019.
DOI
https://doi.org/10.2991/aebmr.k.191217.177How to use a DOI?
Keywords
Artificial intelligence (AI), Tax collection and management, Reform, Suggestion
Abstract
Artificial intelligence (AI) has become an urgent demand for the development of times, and its application is quite popular in a variety of industries. In the field of tax collection and management, it is also a trend to adopt AI. This is because AI can offer smart services and serve the national “Intelligence +” development strategy, which can not only improve tax efficiency, but also enable effective tax collection and management, regulation, and taxation cost reduction. On the basis of the national “Intelligence +” development strategy, this essay introduces the concept of AI into the field of tax collection and management. It studies the impact of AI application on the national taxation system, and analyzes the necessity of the application. With reference to both domestic and global practices, this essay hopes to offer suggestions to the reform of the taxation risk prevention model and the taxation system. It observes modern taxation administration from a new perspective, and to some extent, aims to guide the reform of the national taxation system.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Liu Jing-Yi
PY  - 2019
DA  - 2019/12/20
TI  - Research on the Reform of Tax Collection and Management System by Artificial Intelligence Under the Background of “Intelligence+” Development Strategy
BT  - Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
PB  - Atlantis Press
SP  - 1029
EP  - 1034
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191217.177
DO  - https://doi.org/10.2991/aebmr.k.191217.177
ID  - Jing-Yi2019
ER  -