Legal Support of the Security of the Information Space of the Russian Federation in the Field of Artificial Intelligence

On the one hand, one of the priority areas of state policy in accordance with the National Development Strategy is the accelerated development of artificial intelligence (AI), on the other hand, various problems arise, including legal regulation of the field of AI in order to ensure the security of the information space of the Russian Federation. Methodology: Using a set of dialectical, formal and systemic methods to study the development and implementation of AI technologies to determine the main directions of legal regulation in the field of AI and identify problems associated with legal support for the security of the information space of the Russian Federation. Results. Approaches to regulation of AI in the Russian Federation and in world practice are analyzed; The existing legal problems in the field of development and use of AI are considered. It has been revealed that the introduction of AI technologies leads to violations of the security of the information space of the Russian Federation. The result of the study was the substantiation of the need to create a unified regulatory framework in the field of AI to ensure the security of the information space of the Russian Federation, which can be achieved by improving the legislative framework in the field of AI, as well as minimizing the identified legal risks associated with the practice of developing and implementing AI technologies.

Authors

Institutions

Publication Details

Journal
Courier of Kutafin Moscow State Law University (MSAL)
Published
2024-12-06
DOI
https://doi.org/10.17803/2311-5998.2024.122.10.069-076
Primary Topic
Legal and Policy Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Legal Support of the Security of the Information Space of the Russian Federation in the Field of Artificial Intelligence

P. V. Eresko
1 links
Courier of Kutafin Moscow State Law University (MSAL)
Legal and Policy Issues
article

Legal Support of the Security of the Information Space of the Russian Federation in the Field of Artificial Intelligence

P. V. Eresko
article en

Abstract

On the one hand, one of the priority areas of state policy in accordance with the National Development Strategy is the accelerated development of artificial intelligence (AI), on the other hand, various problems arise, including legal regulation of the field of AI in order to ensure the security of the information space of the Russian Federation. Methodology: Using a set of dialectical, formal and systemic methods to study the development and implementation of AI technologies to determine the main directions of legal regulation in the field of AI and identify problems associated with legal support for the security of the information space of the Russian Federation. Results. Approaches to regulation of AI in the Russian Federation and in world practice are analyzed; The existing legal problems in the field of development and use of AI are considered. It has been revealed that the introduction of AI technologies leads to violations of the security of the information space of the Russian Federation. The result of the study was the substantiation of the need to create a unified regulatory framework in the field of AI to ensure the security of the information space of the Russian Federation, which can be achieved by improving the legislative framework in the field of AI, as well as minimizing the identified legal risks associated with the practice of developing and implementing AI technologies.

Courier of Kutafin Moscow State Law University (MSAL)(10)
Saratov State Academy of Law (RU)
Partnerships for the goals
Openalex Percentile: Top 58%
Legal and Policy Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.