Proceedings of the International Conference on Sustainable Development of Cross-Border Regions: Economic, Social and Security Challenges (ICSDCBR 2019)

Artificial intelligence as an object of forensic study: perspectives from a border region

Authors
V V Polyakov, O V Bespechniy, M A Neymark
Corresponding Author
V V Polyakov
Available Online November 2019.
DOI
10.2991/icsdcbr-19.2019.129How to use a DOI?
Keywords
artificial intelligence technologies, criminal activity, crime, investigation of crimes
Abstract

From a forensic perspective, the application of artificial intelligence technologies in criminal activity is analyzed. The main directions in the study of this negative phenomenon are determined. Prospects for using machine learning methods in forensics are analyzed. The influence of artificial intelligence in criminal activity and in law enforcement in investigating and preventing crimes on the development of regions is also studied.

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 International Conference on Sustainable Development of Cross-Border Regions: Economic, Social and Security Challenges (ICSDCBR 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2019
ISBN
978-94-6252-831-4
ISSN
2352-5398
DOI
10.2991/icsdcbr-19.2019.129How 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  - V V Polyakov
AU  - O V Bespechniy
AU  - M A Neymark
PY  - 2019/11
DA  - 2019/11
TI  - Artificial intelligence as an object of forensic study: perspectives from a border region
BT  - Proceedings of the International Conference on Sustainable Development of Cross-Border Regions: Economic, Social and Security Challenges (ICSDCBR 2019)
PB  - Atlantis Press
SP  - 637
EP  - 640
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsdcbr-19.2019.129
DO  - 10.2991/icsdcbr-19.2019.129
ID  - Polyakov2019/11
ER  -