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AI Cover Şarkılar: Teknoloji, Telif Hakkı ve Etik İhlaller Arasında Tartışmalı Bir Üretim Modeline Dair Dinleyici Görüşleri

Year 2025, Volume: 12 Issue: 2, 216 - 254, 05.12.2025
https://doi.org/10.24955/ilef.1687789

Abstract

Yapay zekâ (YZ) teknolojisinin hızlı gelişimi, diğer pek çok alanda olduğu gibi yaratıcı endüstri alanında da çeşitli yenilikleri ve tartışmaları beraberinde getirmiştir. Örneğin müzik sektöründe üretken yapay zekâ (ÜYZ) teknolojileri hem üreticiler hem de müzik dinleyicileri açısından yeni deneyimlerin kapılarını aralamaktadır. ÜYZ modelleri ile ses klonlamaya dayalı AI cover şarkılar bu bağlamda dikkat çekmektedir. ÜYZ ile bir sanatçının vokal stili veya müzikal karakteri taklit edilebilir hale gelmiştir. Ancak bu yeni müzik üretim pratiği, telif hakkının yanı sıra manevi hakların ihlali açısından da tartışmalara neden olmuştur. Bu çalışmada AI cover şarkılarla ortaya çıkan sorunların sadece bu içeriklerin üretimi değil, tüketimi bağlamında da tartışılması amaçlanmıştır. Bu amaç doğrultusunda YouTube’da en çok dinlenilen Türkçe AI cover şarkılara yapılan dinleyici yorumları tematik analiz tekniği ile incelenmiştir. Araştırma sonucunda dinleyicilerin eserleri, destekleyici yorumlarının dışında etik sınırların belirsizliği, sanatçının mirasına saygı, telif hakkı konusunda endişeler ekseninde de değerlendirdiği görülmüştür. Bu bağlamda çalışmada, üretken yapay zekânın müzik endüstrisindeki geleceğinin yalnızca teknolojik gelişmelerle değil, aynı zamanda bu tür eleştirilerin dikkate alınmasıyla şekillenmesi gerektiği vurgulanmıştır. Elde edilen temalar, dinleyicilerin AI cover şarkıları bir yandan olumlayıcı bir nostalji ve remix pratiği olarak gördüğünü, diğer yandan sanatçı rızası, adil kazanç ve yapay/otantik ses ayrımı üzerinden sorguladığını göstermektedir. Çalışmada Braun ve Clarke’ın tematik analiz yaklaşımı izlenmiş, 4.029 yorum yedi ana tema altında sınıflandırılmış ve dinleyici söylemleri katılımcı kültür ve YZ etiği literatürüyle ilişkilendirilmiştir. Böylece çalışma, üretken yapay zekâ uygulamalarının müzik endüstrisinde dinleyici boyutunu görünür kılarak ses klonlama teknolojilerine yönelik hukuki ve etik düzenleme tartışmaları için ampirik bir zemin sunmaktadır.

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AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations

Year 2025, Volume: 12 Issue: 2, 216 - 254, 05.12.2025
https://doi.org/10.24955/ilef.1687789

Abstract

The rapid advancement of artificial intelligence (AI) technology has introduced various innovations and debates within the creative industries, as it has in many other fields. In the music sector, generative AI (GAI) technologies have opened new avenues for both producers and listeners, providing novel experiences. One of the most notable developments in this regard is AI covers, which rely on voice cloning technology. GAI models can replicate an artist’s vocal style and musical characteristics. However, this emerging practice has sparked significant discussions, not only regarding copyright infringement but also concerning the violation of moral rights. This study aims to analyze the controversies surrounding AI covers, focusing not only on the production of such content but also on its consumption. The study employs thematic analysis to evaluate listener comments on the most popular Turkish AI covers available on YouTube. The findings reveal that, in addition to supportive reactions, listeners assess these works through the lens of ethical ambiguities, respect for the artist’s legacy, and copyright concerns. In this context, the study emphasizes that the future of GAI in the music industry should not be determined solely by technological advancements but must also take ethical and legal considerations into account. Using Braun and Clarke’s thematic analysis approach, the study codes the listener discussions under five highly engaged Turkish AI-cover videos and organizes them into seven themes, including copyright, ethical concerns, AI perception, artistic value, and supportive or critical reactions. The results indicate that audiences simultaneously celebrate AI covers as creative, nostalgic remix practices and problematize them as threats to artistic authenticity, consent, and fair remuneration. By foregrounding listener perspectives in a non-Anglophone context, the article offers empirical input to debates on participatory culture, musical deepfakes, and AI ethics in the music industry.

References

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  • Alpyıldız, Eray. 2024. “Yapay Zekâ, Posthuman Folklor ve Müzik Teknolojisine Bir Bakış: Atatürk’ün Sesinden Türküler Dinlediniz.” Folklor Akademi Dergisi 7(1): 388–402. https://doi.org/10.55666/folklor.1423890.
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  • Baris, Antonios. 2024. “AI Covers: Legal Notes on Audio Mining and Voice Cloning.” Journal of Intellectual Property Law & Practice 19 (7): 571–576. https://doi.org/10.1093/jiplp/jpae029.
  • Benjamin, Walter. 2008. The Work of Art in the Age of Mechanical Reproduction. London: Penguin.
  • Braun, Virginia, and Victoria Clarke. 2006. “Using Thematic Analysis in Psychology.” Qualitative Research in Psychology 3 (2): 77-101. https://doi. org/10.1191/1478088706qp063oa
  • Braun, Virginia, and Victoria Clarke. 2013. Successful Qualitative Research: A Practical Guide for Beginners. London: SAGE Publications.
  • Brittain, Blake. 2024. “Music Labels’ AI Lawsuits Create Copyright Puzzle for Courts.” Reuters. Accessed February 1, 2025. https://www.reuters. com/legal/music-labels-ai-lawsuits-create-new-copyright-puzzle-us- courts-2024-08-03/
  • Bulayenko, Oleksandr, João Pedro Quintais, Daniel J. Gervais, and Joost Poort. 2022. “AI Music Outputs: Challenges to the Copyright Legal Framework.” ReCreating Europe Report. Accessed February 1, 2025. http://dx.doi. org/10.2139/ssrn.4072806
  • Capelouto, JD. 2023. “AI-Generated Music is Going Viral. But Is It legal?” Semafor. Accessed 1st Feb, 2025. https://www.semafor.com/article/04/18/2023/ is-ai-generated-music-legal
  • Chung, Wonjun. 2023. “Legal Issues of Generative AI Through the Case of AI Cover Songs.” Journal of Industrial Property 76: 455-494. Accessed February 1, 2025. https://www.earticle.net/Article/A439710
  • Directive (EU) 2019/790. 2019. Directive (EU) 2019/790 of the European Parliament and of the Council of 17 April 2019 on Copyright and Related Rights in the Digital Single Market. EUR-Lex. Accessed February 1, 2025. https://eur- lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019L0790
  • Elgammal, Ahmed. 2019. “Arts Lab: AI is Blurring the Definition of Artist.” American Scientist 107(1): 18–21. https://www.jstor.org/stable/26586036
  • Fitzpatrick, Dan. 2025. “New Copyright Ruling Just Made AI Skills the Biggest Advantage.” Forbes. February 3. https://www.forbes.com/sites/ danfitzpatrick/2025/02/03/new-copyright-ruling-just-made-ai-skills-the- biggest-advantage/
  • Floridi, Luciano and Josh Cowls. 2019. “A Unified Framework of Five Principles for AI in Society.” Harvard Data Science Review 1 (1). https://doi. org/10.1162/99608f92.8cd550d1
  • Floridi, Luciano and Josh Cowls. 2021. “The Design, Governance and Practice of AI for Social Good: A European Perspective.” Philosophy & Technology 34 (4): 1597–1623.
  • Fox, Mark, Ganesh Vaidyanathan, and Jennifer Breese. 2024. “The Impact of Artificial Intelligence on Musicians.” Issues in Information Systems 25 (3): 267- 276. Accessed February 1, 2025. https://doi.org/10.48009/3_iis_2024_121
  • Gaffar, Hafiz and Saleh Albarashdi. 2024. “Copyright Protection for AI-Generated Works: Exploring Originality and Ownership in a Digital Landscape.” Asian Journal of International Law 1: 1–24. Accessed February 1, 2025. https://doi. org/10.1017/S2044251323000735
  • Gendron, Vaughn. 2024. “A New Frontier: The Music Industry’s Struggle Against Generative AI.” The University of Miami Business Law Review 33 (1): 161-191.
  • Gündoğdu, Buket and Semih Okcu. 2024. “Yapay Zekâ Uygulamalarının Müzik ve Müzik Endüstrisi Üzerine Etkileri.” Konservatoryum, Conservatorium CONS 11 (2): 545–558. Accessed 1st Feb, 2025. https://doi.org/10.26650/ CONS2024-1524963
  • Hessari, Hassan, Ali Bai, and Fatemeh Daneshmandi. 2024. “Generative AI: Boosting Adaptability and Reducing Workplace Overload.” Journal of Computer Information Systems. October: 1–14. https://doi.org/10.1080/08 874417.2024.2417672
  • Hugenholtz, Bernt, and João Pedro Quintais. 2021. “Copyright Protection for AI-Generated Works: Exploring Originality and Ownership in a Digital Landscape.” IIC International Review of Intellectual Property and Competition Law 16 (12): 1190–1216. Accessed February 1, 2025. https://doi.org/10.1007/ s40319-021-01115-0
  • IFPI. 2024. AI and Music: Key Facts. Market Development of AI in the Music Sector and Impact on Music Authors and Creators in Germany and France. Accessed
  • February 1, 2025. https://www.goldmedia.com/fileadmin/goldmedia/ Studie/2023/GEMA-SACEM_AI-and-Music/AI_and_Music_GEMA_ SACEM_Goldmedia.pdf
  • Jacques, Sabine, and Mathew Flynn. 2024. “Protecting Human Creativity in AI- Generated Music With the Introduction of an AI-Royalty Fund.” GRUR International 73 (12): 1137–1149. Accessed February 1, 2025. https://doi. org/10.1093/grurint/ikae134
  • Jenkins, Henry, Sam Ford, and Joshua Green. 2013. Spreadable Media: Creating Value and Meaning In a Networked Culture. New York: NYU Press.
  • Jenkins, Henry. 2006. Convergence Culture: Where Old and New Media Collide. New York: NYU Press.
  • Jenkins, Henry. 2013. Textual Poachers: Television Fans & Participatory Culture (20th anniversary ed.). New York: Routledge.
  • Ji, Jingwen. 2023. “Copyright Infringement Risks in AI-Generated Cover Songs: An Analysis Based on Current Legislation.” In proceedings of the 4th International Conference on Educational Innovation and Philosophical Inquiries. Accessed February 1, 2025. https://doi.org/10.54254/2753- 7048/20/20231467
  • Jones, Daisy. 2023. “AI Cover Songs from Dead Musicians are Morbid, Exploitative, and Tacky as Hell.” GQ Magazine, August 21. https://www.gq-magazine. co.uk/article/dead-musiciains-ai-generated-songs
  • Kalpokas, Ignas. 2023. “Work of Art in the Age of Its AI Reproduction.” Philosophy & Social Criticism 51 (8): 1268-1286. Lim, Daryl. 2023. “Generative AI and Copyright: Principles, Priorities and Practicalities.” Journal of Intellectual Property Law & Practice 18 (12): 841-842.
  • Magowan, Justine. 2023. “It’s Like I’ve Got This Music in My Mind: Protecting Human Authorship in the Age of Generative Artificial Intelligence.” UC Law Journal. 75 (1): 233-260.
  • Marongiu, Eugenio. 2024. “AI Can Make Up Songs Now, But Who Owns the Copyright? The Answer is Complicated.” The Conversation Accessed February 1, 2025. https://theconversation.com/ai-can-make-up-songs- now-but-who-owns-the-copyright-the-answer-is-complicated-229714
  • Masood, Momina, Mariam Nawaz, Khalid Mahmood Malik, Ali Javed. Aun Irtaza, and Hafiz Malik. 2022. “Deepfakes Generation and Detection: State- of-the-art, Open Challenges, Countermeasures, and Way Forward.” Applied Intelligence 53: 3974–4026.
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There are 62 citations in total.

Details

Primary Language English
Subjects Communication Technology and Digital Media Studies, Internet Publishing, Social Media Studies
Journal Section Research Article
Authors

Recep Ünal 0000-0001-6181-6255

Ahmet Taylan 0000-0003-3258-2108

Publication Date December 5, 2025
Submission Date May 2, 2025
Acceptance Date October 28, 2025
Published in Issue Year 2025 Volume: 12 Issue: 2

Cite

APA Ünal, R., & Taylan, A. (2025). AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations. Ankara Üniversitesi İlef Dergisi, 12(2), 216-254. https://doi.org/10.24955/ilef.1687789
AMA Ünal R, Taylan A. AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations. Ankara Üniversitesi İlef Dergisi. December 2025;12(2):216-254. doi:10.24955/ilef.1687789
Chicago Ünal, Recep, and Ahmet Taylan. “AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations”. Ankara Üniversitesi İlef Dergisi 12, no. 2 (December 2025): 216-54. https://doi.org/10.24955/ilef.1687789.
EndNote Ünal R, Taylan A (December 1, 2025) AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations. Ankara Üniversitesi İlef Dergisi 12 2 216–254.
IEEE R. Ünal and A. Taylan, “AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations”, Ankara Üniversitesi İlef Dergisi, vol. 12, no. 2, pp. 216–254, 2025, doi: 10.24955/ilef.1687789.
ISNAD Ünal, Recep - Taylan, Ahmet. “AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations”. Ankara Üniversitesi İlef Dergisi 12/2 (December2025), 216-254. https://doi.org/10.24955/ilef.1687789.
JAMA Ünal R, Taylan A. AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations. Ankara Üniversitesi İlef Dergisi. 2025;12:216–254.
MLA Ünal, Recep and Ahmet Taylan. “AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations”. Ankara Üniversitesi İlef Dergisi, vol. 12, no. 2, 2025, pp. 216-54, doi:10.24955/ilef.1687789.
Vancouver Ünal R, Taylan A. AI Covers: Listener Perspectives on a Controversial Production Model Between Technology, Copyright and Ethical Violations. Ankara Üniversitesi İlef Dergisi. 2025;12(2):216-54.