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On the issue of legal regulation of experimental artificial intelligence legal regimes in the EAEU and the EU

https://doi.org/10.22394/2074-7306-2024-1-2-54-62

EDN: YSDAXH

Abstract

This article covers regulatory and theoretical approaches to the governance of experimental legal regimes concerning artificial intelligence within the Eurasian Economic Union (EAEU) and the European Union (EU). The author observes that the rapid advancement of artificial intelligence technologies poses novel challenges not only of practical concern but also of legal significance. The necessity of establishing a qualitatively new legal framework for testing groundbreaking technologies is emphasized. The author identifies opportunities for their successful implementation through the mechanism of experimental legal regimes. It is concluded that the EAEU should develop an integrated legal framework to facilitate the effective operation of «regulatory sandboxes» in the realm of artificial intelligence, thereby advancing its digital agenda. Furthermore, attention is drawn to the ongoing completion of the regulatory framework for experimental legal regimes concerning artificial intelligence within the EU, suggesting that such legal insights may prove beneficial in shaping the legislation of the EAEU. A comprehensive array of methods including comparative legal analysis, functional examination, and systemic scrutiny of normative legal acts have enabled the examination of legal regulations within the EAEU and the EU, leading to the formulation of proposals for their enhancement.

About the Author

E. O. Solomatin
State budgetary educational institution of the city of Moscow «School No. 2123 named after Miguel Hernandez»
Russian Federation

Evgenii O. Solomatin - lecturer in law 

Moscow 



References

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For citations:


Solomatin E.O. On the issue of legal regulation of experimental artificial intelligence legal regimes in the EAEU and the EU. North Caucasus Legal Vestnik. 2024;(2):54-62. (In Russ.) https://doi.org/10.22394/2074-7306-2024-1-2-54-62. EDN: YSDAXH

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ISSN 2074-7306 (Print)
ISSN 2687-0304 (Online)