Research on the Reform of Tax Collection and Management System by Artificial Intelligence Under the Background of “Intelligence+” Development Strategy
- DOI
- 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.
- 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 - 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 - 10.2991/aebmr.k.191217.177 ID - Jing-Yi2019 ER -