INDUSTRIAL PROPERTY OF PATENTS GENERATED BY ARTIFICIAL INTELLIGENCE: A SCIENTOMETRIC AND QUALITATIVE ANALYSIS

Angela Repanovici, Gabriela Ivanus

Abstract


The context of the topic is to present briefly the importance of patents in the context of technological innovation and the role of artificial intelligence in generating inventions. The objectives of the article were to explore the existing literature, identify the most cited authors and research directions, and analyze students’ perspectives on issues related to the industrial property of patents generated by AI. The aims were to explore the current landscape of patent law as it pertains to AI-generated inventions through a dual approach: a scientometric analysis of the relevant literature and a qualitative study based on semi-structured interviews with master’s students. By identifying key research directions and gathering insights from emerging professionals in the field, this study seeks to contribute to the ongoing discourse on the intersection of AI and intellectual property rights. The findings will not only highlight the current state of research. Still, they will also provide a deeper understanding of the implications for future policy and legal frameworks in the realm of industrial property. 

Keywords


Industrial property, Artificial Intelligence, Scientometric, Web of Science, VOSviewer.

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DOI: https://dx.doi.org/10.21622/MARLOG.2025.14.1.57

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The International Maritime Transport and Logistics Journal (MARLOG)

E-ISSN: 2974-3141
P-ISSN: 2974-3133

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