INTELLECTUAL PROPERTY LAW OF COMPUTER-GENERATED WORKS DERIVING FROM ARTIFICIAL INTELLIGENCE

2019 ◽  
Vol 5 (1) ◽  
pp. 339-348
Author(s):  
Akbar Ismanjanov

With the proliferation of artificial intelligence, the significant domain forming the copy-rightable works autonomously created by the computer, without significant expenditure of human effort and skill. The reality of today is that information content is predominantly coming from the computer, where the idea-expression dichotomy of originality is rather referring to the computer than a human author. However, the copyright is revolving around the human-centered authorship its showing resistance to non-human creativity. In the context of authorship, the artificial category of a corporation owning property in the interest of their shareholders allowing application concerning the artificial intelligence author. Moreover, computer programs exercising independent choice in the unpredictability of the outcome of the operation can objectively approximate artificial intelligence to the qualification of authorship.

2018 ◽  
Vol 7 (1) ◽  
pp. 83-98
Author(s):  
Swapnil Tripathi ◽  
Chandni Ghatak

Artificial intelligence systems have been gaining widespread momentum in today’s progressing tech-savvy world. With sophisticated technologies being incorporated in the same, it is only a matter of time these systems start to produce marvelous inventions without human intervention of any kind. This brings forth pertinent questions concerning Intellectual Property Rights, (IPR) for, it challenges not only traditional notions of concepts such as patents and copyrights, but also leads to the emergence of questions related to the regulation of such creations amidst others. This paper seeks to provide insight into the expanding scope of IPR laws and artificial intelligence, along with the inevitable challenges it brings from a worldwide lens on the matter. It also attempts to provide suggestions transcending IPR, and seeks to address questions concerning criminal liability for the content created by such technologies.


Author(s):  
Eliza Mik

Cyclical advancements in artificial intelligence (AI) are usually accompanied by theories advocating the granting of legal personhood to sophisticated, autonomous computers. This chapter criticizes such theories as incorrect—a possible result of legal scholars being seduced by incomprehensible technical terminology, sensationalistic stories in the popular press, and ‘creative’ photo filters that transform our faces into animals. Discussions as to when computers should be recognized as persons are, logically, outside of the scope of intellectual property law. The granting of legal personhood is not premised on the existence of consciousness, intelligence, or creativity. Recognizing an entity as a legal person is a normative choice dictated by commercial expediency, not the result of fulfilling any technical criteria. While it is necessary to acknowledge the blurring of borders between art and (computer) science, as well as the increase in the technological sophistication of the tools used by authors and inventors, it is also necessary to state that even an exponential increase in ‘computer creativity’ will not sever the link between the computer and its user. Before discarding the idea of legal personhood for ‘creative algorithms’ once and for all, the chapter explores the relationships between autonomy and creativity. In particular, it places technical terms such as ‘AI’ and ‘autonomy’ in their original context and criticizes uninformed attempts to imbue them with normative connotations.


Legal Concept ◽  
2021 ◽  
pp. 48-54
Author(s):  
Ekaterina Kupchina

Introduction: in the paper, the author analyzed the current problems associated with the use of artificial intelligence in the field of intellectual property. Thanks to the active introduction of this technology in many areas of human activity, there is a rapid growth of innovative processes. On the one hand, such active improvement of the computer technology system creates a favorable environment for the development of economic, political and social relations. On the other hand, however, the potential for the further development of artificial intelligence is of serious concern in the scientific community. In particular, modern digital technologies are developing much faster than the legal framework designed to regulate them is improving. In this regard, the first branch of law that has faced the greatest difficulties is intellectual property law, since it is a branch of law directly related to innovation processes. The purpose of the research is achieved by solving a number of tasks: to determine the role of artificial intelligence as a “subject” of patent relations, as well as the boundaries of responsibility for patent infringement by AI. The methodology is based on a theoretical approach to the study of the legal framework in the field of intellectual property. Based on the analysis of the theoretical data obtained, the author provides the examples of patent violations related to the use of artificial intelligence technology, as well as highlights some modern approaches to solving this problem. The results of the research can be used to determine the key goals and objectives in the law enforcement, research, as well as in educational and teaching activities, in particular, during lectures and seminars on courses in intellectual property law, copyright and patent law. Conclusions: the development of artificial intelligence technologies is central to the development of better intellectual property management systems. The development of new doctrines for new technologies, the modification of the existing patent system, as well as the changes in the policy of intellectual property rights protection contribute to the effective development of innovative processes and the improvement of the legal system as a whole.


2021 ◽  
Vol 2 (2) ◽  
pp. 65-70
Author(s):  
N. V. Kozlova

Review of a book:  Lee, J-.A., Hilty, R., & Liu, K-.C. (Eds.). (2021). Artificial intelligence and intellectual property. Oxford University Press. https://doi.org/10.1093/oso/9780198870944.001.0001


Author(s):  
Mark J. Davison ◽  
Ann L. Monotti ◽  
Leanne Wiseman

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