Main Article Content
Abstract
This study aims to determine and analyze the legal protection of copyright for plagiarism of artificial intelligence artwork and the requirements for obtaining copyright protection for artificial intelligence artwork. The research method in this writing is a normative method that collects library data, namely laws and regulations, and scientific journals related to the problems discussed in the thesis. The results of this study indicate that based on the Copyright Law, artwork produced by artificial intelligence does not explicitly fulfill the elements as a creation that receives legal protection as long as it meets the criteria of originality and suitability with the field of art science and pays attention to the requirements that can be the basis for considering granting copyright legal protection to an artwork produced by artificial intelligence, namely, first according to the standard of authenticity, second the fulfillment of the element of creativity and third the realization of a real format. Research recommendations where the government and related institutions need to consider the Copyright Law which contains special provisions related to the protection of copyrighted works produced by artificial intelligence and regulations that focus on regulating the responsibilities and parties involved in the development and use of Artificial Intelligence in the creation of works that consider the traditional concept of legal subjects in copyright and still accommodate innovation in Artificial Intelligence technology in works of art.
Keywords
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
- Ahuja, V. K. (2020). Artificial Intelligence and Copyright: Issues and Challenges. SSRN Electronic Journal. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3864922
- AI-Generated Content. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2406.11857
- Amini, H. (2025). AI in Art Education: Innovation, Ethics, and the Future of Creativity. Art and Design Review, 13(2), 115. https://doi.org/10.4236/adr.2025.132008
- Deltorn, J. (2017). Deep Creations: Intellectual Property and the Automata. Frontiers in Digital Humanities, 4. https://doi.org/10.3389/fdigh.2017.00003
- Ducru, P., Raiman, J., Lemos, R., Garner, C., He, G., Balcha, H., Souto, G., Branco, S., & Bottino, C. (2024). AI Royalties -- an IP Framework to Compensate Artists & IP Holders for
- Dzuong, J., Wang, Z., & Zhang, W. (2024). Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues
- Epstein, Z., Hertzmann, A., Akten, M., Farid, H., Fjeld, J., Frank, M. R., Groh, M., Herman, L., Leach, N., Mahari, R., Pentland, A., Russakovsky, O., Schroeder, H., & Smith, A. (2023). Art and the science of generative AI. Science, 380(6650), 1110. https://doi.org/10.1126/science.adh4451
- Esposti, M. D., Lagioia, F., & Sartor, G. (2019). The Use of Copyrighted Works by AI Systems: Art Works in the Data Mill. European Journal of Risk Regulation, 11(1), 51. https://doi.org/10.1017/err.2019.56
- Gaffar, H., & Albarashdi, S. H. (2024). Copyright Protection for AI-Generated Works: Exploring Originality and Ownership in a Digital Landscape. Asian Journal of International Law, 1. https://doi.org/10.1017/s2044251323000735 in Generative AI. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2404.08221
- Majumdar, A. (2024). Facing the Music: The Future of Copyright Law and Artificial Intelligence in the Music Industry. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4754032
- Maravilla, W. H., Malang, B. P., Anoop, M., & Nithya, B. (2024). AI and Creativity: The Intersection of Art and Technology. https://doi.org/10.11594/978-621-96852-4-5
- McCormack, J., Gifford, T., & Hutchings, P. (2019). Autonomy, Authenticity, Authorship, and Intention in computer-generated art. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1903.02166
- Mei, Y. (2024). Prompting the E-Brushes: Users as Authors in Generative AI. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2406.11844
- Miernicki, M., & Ng, I. (2020). Artificial intelligence and moral rights. AI & Society, 36(1), 319. https://doi.org/10.1007/s00146-020-01027-6
- Mukherjee, A., & Chang, H. H. (2025). Agentic AI: Autonomy, Accountability, and the Algorithmic Society. https://doi.org/10.2139/ssrn.5123621
- Watiktinnakorn, C., Seesai, J., & Kerdvibulvech, C. (2023). Blurring the lines: how AI is redefining artistic ownership and copyright. Discover Artificial Intelligence, 3(1). https://doi.org/10.1007/s44163-023-00088-y
- Yousaf, M. N. (2025). Practical Considerations and Ethical Implications of Using Artificial Intelligence in Writing Scientific Manuscripts. ACG Case Reports Journal, 12(2). https://doi.org/10.14309/crj.0000000000001629
References
Ahuja, V. K. (2020). Artificial Intelligence and Copyright: Issues and Challenges. SSRN Electronic Journal. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3864922
AI-Generated Content. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2406.11857
Amini, H. (2025). AI in Art Education: Innovation, Ethics, and the Future of Creativity. Art and Design Review, 13(2), 115. https://doi.org/10.4236/adr.2025.132008
Deltorn, J. (2017). Deep Creations: Intellectual Property and the Automata. Frontiers in Digital Humanities, 4. https://doi.org/10.3389/fdigh.2017.00003
Ducru, P., Raiman, J., Lemos, R., Garner, C., He, G., Balcha, H., Souto, G., Branco, S., & Bottino, C. (2024). AI Royalties -- an IP Framework to Compensate Artists & IP Holders for
Dzuong, J., Wang, Z., & Zhang, W. (2024). Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues
Epstein, Z., Hertzmann, A., Akten, M., Farid, H., Fjeld, J., Frank, M. R., Groh, M., Herman, L., Leach, N., Mahari, R., Pentland, A., Russakovsky, O., Schroeder, H., & Smith, A. (2023). Art and the science of generative AI. Science, 380(6650), 1110. https://doi.org/10.1126/science.adh4451
Esposti, M. D., Lagioia, F., & Sartor, G. (2019). The Use of Copyrighted Works by AI Systems: Art Works in the Data Mill. European Journal of Risk Regulation, 11(1), 51. https://doi.org/10.1017/err.2019.56
Gaffar, H., & Albarashdi, S. H. (2024). Copyright Protection for AI-Generated Works: Exploring Originality and Ownership in a Digital Landscape. Asian Journal of International Law, 1. https://doi.org/10.1017/s2044251323000735 in Generative AI. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2404.08221
Majumdar, A. (2024). Facing the Music: The Future of Copyright Law and Artificial Intelligence in the Music Industry. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4754032
Maravilla, W. H., Malang, B. P., Anoop, M., & Nithya, B. (2024). AI and Creativity: The Intersection of Art and Technology. https://doi.org/10.11594/978-621-96852-4-5
McCormack, J., Gifford, T., & Hutchings, P. (2019). Autonomy, Authenticity, Authorship, and Intention in computer-generated art. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1903.02166
Mei, Y. (2024). Prompting the E-Brushes: Users as Authors in Generative AI. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2406.11844
Miernicki, M., & Ng, I. (2020). Artificial intelligence and moral rights. AI & Society, 36(1), 319. https://doi.org/10.1007/s00146-020-01027-6
Mukherjee, A., & Chang, H. H. (2025). Agentic AI: Autonomy, Accountability, and the Algorithmic Society. https://doi.org/10.2139/ssrn.5123621
Watiktinnakorn, C., Seesai, J., & Kerdvibulvech, C. (2023). Blurring the lines: how AI is redefining artistic ownership and copyright. Discover Artificial Intelligence, 3(1). https://doi.org/10.1007/s44163-023-00088-y
Yousaf, M. N. (2025). Practical Considerations and Ethical Implications of Using Artificial Intelligence in Writing Scientific Manuscripts. ACG Case Reports Journal, 12(2). https://doi.org/10.14309/crj.0000000000001629