Issue 3 (49) 2020

 

Perm University Herald. Juridical Sciences. 2020. Issue 3 (49)
Title: ARTIFICIAL INTELLIGENCE TECHNOLOGY AND LAW: CHALLENGES OF OUR TIME
Authors:

Y. S. Kharitonova, Lomonosov Moscow State University

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ORCID: 0000-0001-7622-6215
 ResearcherID: K-7495-2016
Articles of «Scopus» & «Web of Science»:       ---

V. S. Savina, Russian State Academy of Intellectual Property

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ORCID: 0000-0002-8385-9421
 ResearcherID: G-2782-2014
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Requisites: Kharitonova Y. S., Savina V. S. Tekhonologiya iskusstvennogo intellekta i pravo: vyzovy sovremennosti [Artificial Intelligence Technology and Law: Challenges of Our Time]. Vestnik Permskogo universiteta. Juridicheskie nauki – Perm University Herald. Juridical Sciences. 2020. Issue 49. Pp. 524–549. (In Russ.). DOI: 10.17072/1995-4190-2020-49-524-549
DOI: 10.17072/1995-4190-2020-49-524-549
Annotation:

 Introduction: the article deals with the issues concerning the protection of the rights to digital content created with the use of artificial intelligence technology and neural networks. This topic is becoming increasingly important with the development of the technologies and the expansion of their application in various areas of life. The problems of protecting the rights and legitimate interests of developers have come to the fore in intellectual property law. With the help of intelligent systems, there can be created not only legally protectable content but also other data, relations about which are also subject to protection. In this regard, of particular importance are the issues concerning the standardization of requirements for procedures and means of storing big data used in the development, testing and operation of artificial intelligence systems, as well as the use of blockchain technology. Purpose: based on an analysis of Russian and foreign scientific sources, to form an idea of the areas of legal regulation and the prospects for the application of artificial intelligence technology from a legal perspective. Methods: empirical methods of comparison, description, interpretation; theoretical methods of formal and dialectical logic; special scientific methods (legal-dogmatic and the method of interpretation of legal norms). Results: analysis of the practice of using artificial intelligence systems has shown that today intelligent algorithms include a variety of technologies that are based on or related to intelligent systems, but not always fall under the concept of classical artificial intelligence. Strictly speaking, classic artificial intelligence is only one of the intelligent system technologies. The results created by autonomous artificial intelligence have features of works. At the same time, there are some issues of a public law nature that require resolution: obtaining consent to data processing from the subjects of this data, determining the legal personality of these persons, establishing legal liability in connection with the unfair use of data obtained for decision-making. Standardization in the sphere and application of blockchain technology could help in resolving these issues. Conclusions: in connection with the identified and constantly changing composition of high technologies that fall under the definition of artificial intelligence, there arise various issues, which can be divided into some groups. A number of issues of legal regulation in this area have already been resolved and are no longer of relevance for advanced legal science (legal personality of artificial intelligence technology); some issues can be resolved using existing legal mechanisms (analysis of personal data and other information in course of applying computational intelligence technology for decision-making); some other issues require new approaches from legal science (development of a sui generis legal regime for the results of artificial intelligence technology, provided that the original result is obtained).
Keywords: artificial intelligence; robot performance; self-learning software; protectability of artificial intelligence results; human-machine interaction; standardization of artificial intelligence systems; blockchain technology and artificial intelligenc.
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Received: 11.03.2020
Financing: Acknowledgments: The reported study was funded by the Russian Foundation for Basic Research,
project No. 18-29-16145 mk 'Mechanism for legal regulation of relations with the use of blockchain technology'
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ISSN 1995-4190 ISSN (eng.) 2618-8104
ISSN (online) 2658-7106
DOI 10.17072/1995-4190
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