INTERNATIONAL LEGAL REGULATION OF ARTIFICIAL INTELLIGENCE: ANALYSIS OF THE CURRENT STATE AND PERSPECTIVES FOR DEVELOPMENT

2021 ◽  
Vol 1 (2) ◽  
pp. 151-163
Author(s):  
S.V. Nikitenko
2021 ◽  
pp. 11-22
Author(s):  
Galina Andreeva ◽  

This review summarizes the statements of Russian scientists about the current state of scientific development of issues of legal regulation of AI, the complexities of the problems facing scientists and the assessment of the proposed ways to solve them in the most important aspects of legal regulation of AI.


2018 ◽  
Vol 22 (3) ◽  
pp. 314-327
Author(s):  
Oleg A Yastrebov

The active implementation of digital technologies into all spheres of public life, as well as the rapid development of artificial intelligence, is assuming a serious dimension, thus requiring a special attention of the legislator. The article examines the current state of the legal regulation of the artificial intelligence. The author considers the Strategy of the Information Society Development in the Russian Federation for 2017-2030, as well as provides some clear examples of active implementation of artificial intelligence into social reality. The author also provides the McKinsey consulting group's research findings which reflect the prospects for replacing human labor by robots. It is pointed out that the issue of total computerization and the corresponding displacement of a human from the sphere of intellectual activity is rather controversial. The article also discusses the main possible problems related to the artificial intelligence technologies: the problems of responsibility that may arise in the operation of industrial robots; the continuity of digital activity can affect the psychoemotional state. The issue of a possibility for creating robots with intelligence and endowed with personality is being considered from the Philosophy perspective. The conclusion is drawn that the theoretical study of the intellect and the "electronic person" is one of the possible redirections of the Russian law development in modern conditions.


2021 ◽  
Vol 4 (3) ◽  
pp. 144-154

This note explores the current state of and perspectives on the legal qualification of artificial intelligence (AI) outputs in Ukrainian copyright. The possible legal protection for AI-generated objects by granting sui generis intellectual property rights will be examined. As will be shown, AI remains a very challenging subject matter for legal regulation. This article seeks to identify the pros and cons of proposals in the Draft Law of Ukraine ‘On copyright and related rights’ on sui generis right relative to AI-generated objects. A comparative analysis of the EU Database Directive provisions is conducted regarding sui generis right to non-original databases. Investment theory will be considered as the only justification for a sui generis right protection of AI outputs aimed at the protection of substantial investments. The special criteria identifying the scope of the substantial investments in computer-generated objects are unclear in the Draft Law of Ukraine ‘On copyright and related rights’. The proposed provisions are considered premature since they cover the concept of fully autonomous AI. The article concludes that the adoption of the proposed provisions may lead to excessive legal protection, as a special category of protected object is not identified.


Author(s):  
Nagla Rizk

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.


Author(s):  
Daria Ponomareva ◽  
◽  
Alexander Barabashev ◽  

This article is devoted to the legal problems associated with the provision of patent protection for the results of scientific activities created by artificial intelligence systems. The authors explore the approaches formulated by doctrine and practice in relation to objects created by robotic systems, computer technology and AI. The problem of the relationship between patent protection of the results of scientific (scientific and technical) activities and artificial intelligence systems is becoming more and more urgent. Modern AI systems are quite capable of creating inventions that are the result of the application (use) of the cognitive (thinking) abilities of a person, that is, such inventions can be patentable. There is no doubt that the increasingly active introduction of AI systems will force national legislators to reconsider the definition of the term “inventor.” In Russian legislation, the issue of patent protection of inventions created by AI is currently not resolved. The review of the state of legal regulation of patent protection of the results of scientific activity (first of all, inventions) created by AI systems, presented in the article, indicates the absence of clear rules both in Russian and foreign law (using the example of individual jurisdictions) regarding the determination of the legal status of this kind. objects and the person who has exclusive rights in relation to them. The use of already existing legal constructions by analogy, as well as the borrowing of foreign experience, can only temporarily solve the issue of patent protection of the results of scientific activity created with the help of AI.


2021 ◽  
Author(s):  
Changjiang Zhou ◽  
Xiaobing Feng ◽  
Hongbin Cai ◽  
Yi Jin ◽  
Harvest F. Gu ◽  
...  

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