Proceedings of the 17 th International Symposium on Management (INSYMA 2020)

Developing Artificial Intelligence in Fighting, Preventing and Combating the Digital Business Crimes

Authors
N.X. Thuy, N.D. Hieu
Corresponding Author
N.X. Thuy
Available Online 31 January 2020.
DOI
10.2991/aebmr.k.200127.090How to use a DOI?
Keywords
Artificial intelligence, AI, crime prevention, correctional crime, High-tech crime, digital business crime
Abstract

The Industrial Revolution 4.0 and (AI) are the key factors creating the emergence of high-tech crimes, including digital business crimes. In the article, the authors discussed the most general knowledge and the application of AI in the fight and prevention against crimes in digital business. The article also pointed out the role of AI application in combating and preventing various types of crime and initially pointed out the advantages and disadvantages of the application of AI in the fight, prevention, and combat against various types of crime. From there, the author gave some remarkable points in the development of AI in fighting and combating digital business crimes in Vietnam in the future.

Copyright
© 2020, 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 17 th International Symposium on Management (INSYMA 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
31 January 2020
ISBN
978-94-6252-892-5
ISSN
2352-5428
DOI
10.2991/aebmr.k.200127.090How to use a DOI?
Copyright
© 2020, 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  - N.X. Thuy
AU  - N.D. Hieu
PY  - 2020
DA  - 2020/01/31
TI  - Developing Artificial Intelligence in Fighting, Preventing and Combating the Digital Business Crimes
BT  - Proceedings of the 17 th International Symposium on Management (INSYMA 2020)
PB  - Atlantis Press
SP  - 447
EP  - 450
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200127.090
DO  - 10.2991/aebmr.k.200127.090
ID  - Thuy2020
ER  -