Proceedings of the XVII International Research-to-Practice Conference dedicated to the memory of M.I. Kovalyov (ICK 2020)

Regulatory Landscape of Artificial Intelligence

Authors
A.V. Neznamov
Corresponding Author
A.V. Neznamov
Available Online 24 March 2020.
DOI
10.2991/assehr.k.200321.113How to use a DOI?
Keywords
artificial intelligence, robotics, regulation, laws, concept, development strategy
Abstract

In this article we refer to the basic levels of regulation of AI as per 2020.The following levels are identified: national strategic development documents; laws and regulations; studies by government authorities and expert groups; ethical documents; doctrinal sources; standardization documents and international acts. We analyze the relevant examples of regulatory acts at each level, inter alia the acts of Council of Europe or OECD to the legal systems of precise countries. It is proved that the levels of AI regulation seem to be universally actual, composing the large regulatory landscape of this emerging technology.

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 XVII International Research-to-Practice Conference dedicated to the memory of M.I. Kovalyov (ICK 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
24 March 2020
ISBN
10.2991/assehr.k.200321.113
ISSN
2352-5398
DOI
10.2991/assehr.k.200321.113How 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  - A.V. Neznamov
PY  - 2020
DA  - 2020/03/24
TI  - Regulatory Landscape of Artificial Intelligence
BT  - Proceedings of the XVII International Research-to-Practice Conference dedicated to the memory of M.I. Kovalyov (ICK 2020)
PB  - Atlantis Press
SP  - 201
EP  - 204
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200321.113
DO  - 10.2991/assehr.k.200321.113
ID  - Neznamov2020
ER  -