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Comparative Analysis of Intellectual Property Rights in AI-Generated Artistic Works with a Critical Approach to Iranian Laws
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Afarin Abbasi1    , Aliasghar Fahimifar2 |
1- M.A Student in Art Research, Department of Art Research, Faculty of Art and Architecture, Tarbiat Modares University, Tehran, Iran. (Corresponding Author)
2- Associate Professor, Department of Art Research, Faculty of Art and Architecture, Tarbiat Modares University, Tehran, Iran. (Corresponding Author) |
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Abstract: (604 Views) |
Background and Aim: The advancements of artificial intelligence (AI) in the production of artistic works have created new challenges in the field of intellectual property rights. This article examines the legal ownership of AI-generated artworks through a comparative study of national and international laws. While some legal systems, such as the United States, emphasize the necessity of human creativity for copyright protection, other countries, like the United Kingdom and China, have explored the possibility of recognizing ownership of AI-generated works under specific conditions. In Iran, existing laws do not directly address this issue, and there are significant legal gaps in this area.
Ethical Considerations: All ethical principles were adhered to during the writing process of this research.
Materials and Methods: The research method in this research is descriptive analytical.
This research employs a qualitative research method with a comparative and analytical approach.
Findings and Conclusion: The results indicate that it is necessary to revise intellectual property laws, establish clear criteria for determining ownership, and develop practical solutions for legally regulating these works. Moreover, the development of comparative and interdisciplinary approaches can contribute to providing more comprehensive solutions in this area.
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Article number: 3 |
| Keywords: Artificial Intelligence, Intellectual Property Rights, Digital Artworks, Copyright Law, Comparative Approach. |
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Full-Text [PDF 595 kb]
(56 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2024/09/15 | Revised: 2024/11/18 | Accepted: 2024/11/23 | Published: 2024/12/21
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