Abstract

This article examines the issue of intellectual property rights (IPR) violations arising from the use of Artificial Intelligence (AI) in generating creative works. While AI technologies have advanced rapidly and are capable of producing outputs comparable to human creations, legal frameworks remain underdeveloped. Some jurisdictions restrict copyright ownership to humans, while others explore whether AI or its owners may hold rights. The Indonesian Copyright Law (Law No. 28/2014)¹ does not explicitly regulate AI-generated works, resulting in a legal vacuum. This study adopts a normative legal research method with statute, comparative, and case approaches to analyze Indonesia’s regulatory gaps alongside practices in the United States, European Union, and Japan. Findings show that Indonesian law remains limited to conventional notions of human authorship, while international cases such as Thaler v. Copyright Office² and Getty Images v. Stability AI³ illustrate ongoing disputes about AI creativity and copyright. The article contributes by proposing policy reforms in Indonesia, emphasizing the need for adaptive legislation, clearer liability mechanisms, and harmonization with global standards. Implications: Strengthening protection for creators, ensuring fair use of data in AI training, and advancing international dialogue on AI’s legal status.

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References

• Amiludin, A., & Rokhmawati, S. (2025). Ensuring Legal Certainty of Copyright for AI-Generated Works in Indonesia. MIMBAR YUSTITIA: Jurnal Hukum dan Hak Asasi Manusia, 9(1), 71-80.
• Arai, Y., & Kinukawa, S. (2014). Copyright infringement as user innovation. Journal of Cultural Economics, 38(2), 131-144.
• Bagus Gede Ari Rama et al., “Urgensi Pengaturan Artifcial Intelligence (AI) Dalam Bidang Hukum Hak Cipta Indonesia,” Jurnal Rechtens 12, no. 2 (2023).
• Bagus Gede Ari Rama et al., “Urgensi Pengaturan Artificial Intelligence (AI) dalam Bidang Hukum Hak Cipta Indonesia,” Jurnal Rechtens 12, no. 2 (2023).
• Bagus Gede Ari Rama et al., “Urgensi Pengaturan Artificial Intelligence (AI) dalam Bidang Hukum Hak Cipta Indonesia,” Jurnal Rechtens 12, no. 2 (2023): 115-132.
• Baskoro Suryo Banidro, Implementasi Hak Kekayaan Intelektual (Hak Cipta, Merek, Paten) Di Indonesia (Yogyakarta: Budi Utama, 2019).
• Berne Convention for the Protection of Literary and Artistic Works (1886).
• Craig, C., & Kerr, I. (2025). The death of the AI author. In Robot Law: Volume II (pp. 250-285). Edward Elgar Publishing.
• Gema Juliano Ari, “Masalah Penggunaan Ciptaan Sebagai Data Masukan Dalam Pengembangan Artificial Intelligence Di Indonesia,” Technology and Economics Law Journal 1, no. 1 (2022).
• Gibson, J. (2024). People or patents, inventors or owners: why the Supreme Court decision on artificial intelligence and invention in Thaler is significant for all intellectual property. Queen Mary Journal of Intellectual Property, 14(1), 1-6.
• Hristov, K. (2016). Artificial intelligence and the copyright dilemma. Idea, 57, 431.
• Ida Hanifah and Ismail Koto, “Problema Hukum Seputar Tunjangan Hari Raya Di Masa Pandemi COVID-19,” Jurnal Yuridis 8, no. 1 (2021).
• Jane C. Ginsburg, “People Not Machines: Authorship and AI-Generated Works,” Columbia Journal of Law & the Arts 45, no. 2 (2022).
• Law No. 28 of 2014 on Copyright (Indonesia)
• Li, W., Song, R., Zhang, B., & Yu, K. (2025). AI Creativity and Legal Protection for AI-Generated Works in Posthuman Societal Scenarios. Sustainable Futures, 100749.
• Mainini, J. (2023). Stephen Thaler v. Shira Perlmutter, et al.-No. 22-1564 (BAH)(DDC 2023). Intell. Prop. & Tech. LJ, 28, 65.
• Nanda Dwi Rizkia, Hak Kekayaan Intelektual : Suatu Pengantar (Bandung: Widina Bhakti Persada, 2020).
• OECD, AI and Intellectual Property: Policy Implications (Paris: OECD Publishing, 2020).
• Qualitative analysis methods that used to explain legal events, legal materials or products in detail to facilitate legal interpretation. In qualitative research, the process of obtaining data in accordance with the research objectives or problems, is studied in depth and with a holistic approach.
• Rahimah and Ismail Koto, “Implications of Parenting Patterns in the Development of Early Childhood Social Attitudes,” IJRS:International Journal Reglement & Society 3, no. 2 (2022).
• Scott, G. R. (2006). Comparative View of Copyright as Cultural Property in Japan and the United States. Temp. Int'l & Comp. LJ, 20, 283.
• Setiawati, D., & Huang, N. K. (2024). Intellectual Property Rights Analysis in the Context of Artificial Intelligence Development in the Indonesian Legal Context. E-Justice: Journal of Law and Technology, 1(1), 81-94.
• Sujana Donandi S, Hak Kekayaan Intelektual Di Indonesia (Yogyakarta: Budi Utama, 2019).
• Sun, H. (2021). Redesigning copyright protection in the era of artificial intelligence. Iowa L. Rev., 107, 1213.
• Zainuddin and Rahmat Ramadhani, “The Legal Force Of Electronic Signaturesin Online Mortgage Registration,” Jurnal Penelitian Hukum De Jure 21, no. 2 (2021).

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