Proceedings of the 2019 3rd International Conference on Education, Economics and Management Research (ICEEMR 2019)

The Application and Influence of Artificial Intelligence in the Financial Sector and its Countermeasures

Authors
Xin Yang*, Xiajun Yi, Chunting Wu
Corresponding Author
Xin Yang*
Available Online 30 December 2019.
DOI
10.2991/assehr.k.191221.005How to use a DOI?
Keywords
Artificial Intelligence, Financial Sector, Countermeasure
Abstract

This paper aimed to describe the concept and characteristics of artificial intelligence, as well as the development of artificial intelligence in the financial sector. The paper also analyzed the application of artificial intelligence in the financial industry, and explained how the development of artificial intelligence affected the financial sector and the economy. In the end, the research put forward the countermeasures of the financial industry in the face of the advancement of artificial intelligence.

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 3rd International Conference on Education, Economics and Management Research (ICEEMR 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
30 December 2019
ISBN
978-94-6252-871-0
ISSN
2352-5398
DOI
10.2991/assehr.k.191221.005How 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  - Xin Yang*
AU  - Xiajun Yi
AU  - Chunting Wu
PY  - 2019
DA  - 2019/12/30
TI  - The Application and Influence of Artificial Intelligence in the Financial Sector and its Countermeasures
BT  - Proceedings of the 2019 3rd International Conference on Education, Economics and Management Research (ICEEMR 2019)
PB  - Atlantis Press
SP  - 18
EP  - 21
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.191221.005
DO  - 10.2991/assehr.k.191221.005
ID  - Yang*2019
ER  -