Imagine creating a song with just a few prompts. The melody, lyrics, instruments, and even the vocals are ready. But who owns that song? The person who generated it, the AI system used to create it, or someone else who made a creative contribution to the final work?
AI is making music production more accessible than ever. But as the process becomes easier, a new question is emerging for the music industry: When AI creates a song, who owns the copyright?
The answer is not simply about who created the music. Human creativity, the data used to train AI systems, and the relationship between AI generated output and existing works are all part of the discussion.
Creating Music and Owning the Rights Are Not the Same Thing
Generative AI systems can produce melodies, harmonies, and lyrics by identifying patterns learned from large volumes of musical data. Users can generate a song simply by describing the genre or atmosphere they want.
However, technically creating music and legally owning the rights to it are two different things.
In Türkiye, copyright is primarily governed by Law No. 5846 on Intellectual and Artistic Works (FSEK). The law defines authorship in relation to the person who creates a work. For a work to qualify for copyright protection, it must bear the author's individual characteristics.
This makes human creative contribution particularly important when evaluating AI generated music. A song produced solely through prompts cannot necessarily be treated in the same way as a musical work shaped by meaningful human creative choices and interventions. Original human contributions to melodies, lyrics, or harmonies, as well as creative modifications to AI generated output, may be relevant to copyright protection depending on the circumstances. However, not every form of human intervention automatically establishes authorship; the contribution must reflect the author's individual creative characteristics.
The absence of a specific and comprehensive legal framework governing AI generated works in Türkiye is one of the key uncertainties in this area. As AI becomes increasingly integrated into music production, clearer legal criteria are needed to determine how human creative contributions should be assessed and how authorship should be established.
The US Copyright Office highlighted a similar distinction in its report published in January 2025: AI assisted content may qualify for copyright protection when it contains sufficient human authorship. However, providing prompts alone is not considered sufficient.
What Music Is AI Trained On?
The copyright debate does not end with the resulting song. Another important issue is the data used to train AI models.
These systems may be trained on copyrighted musical works, sound recordings, and lyrics. This raises two important questions:
- Under what conditions can artists' and rights holders' works be used to train AI models?
- How should permissions, licensing, and copyright protections be handled throughout this process?
In Türkiye, developing transparent and predictable licensing mechanisms for copyrighted works used in AI training is becoming increasingly important. A balanced legal approach is needed one that protects the rights of artists, authors, and phonogram producers while also supporting the development of AI technologies.
Article 53 of the European Union's Artificial Intelligence Act (AI Act) requires providers of general purpose AI models to establish a policy for complying with copyright law and publish a sufficiently detailed summary of the content used to train their models.
This regulation highlights the importance of transparency in AI training processes. However, it does not mean that every use of copyrighted material for training is automatically lawful.
How Can Artists' Voices and Identities Be Protected?
The growing use of AI in music production also creates new risks for artists' voices and musical identities.
The unauthorized imitation of an artist's voice, the AI assisted recreation of an existing recording, or the unauthorized use of elements from a musical work may raise different copyright and other rights-related concerns.
An important distinction must be made: not every AI-generated piece of content infringes the rights of another work. However, the fact that content was created using AI does not automatically make it copyright-free or available for unrestricted use.
For this reason, the music industry needs to look beyond the final output and consider the materials used, the production process, and the relevant rights ownership information.
What Does the Future Hold for the Music Industry?
As AI-powered music production continues to evolve, discussions around copyright are expanding. There is currently no single legal approach that applies consistently across all countries.
In the coming years, the music industry will need to address several fundamental questions:
How will human creative contribution be assessed in AI-generated works?
How can artists' voices and musical identities be protected against unauthorized use?
How will permission and licensing processes work for copyrighted material used in AI training?
How will digital platforms assess AI-generated content and potential rights infringements?
Finding answers to these questions will depend not only on legal frameworks but also on systems capable of tracking the origin and use of digital content.
For Türkiye, keeping pace with this transformation is equally important. Determining the legal status of AI-generated music, developing licensing models for training data, and protecting artists' rights over their voices should all be key considerations in future intellectual property policies.
How Can Rights Be Protected as Music Evolves?
AI is making music production more accessible. However, simplifying the creative process does not eliminate the responsibilities surrounding copyright and authorship.
How a song is created, which sources are used, and the extent of human involvement in the creative process all matter when determining ownership and rights.
At GOVINET, we view the protection of digital content and intellectual property not simply as the monitoring of existing rights, but as making ownership more transparent and traceable across the digital production ecosystem. As AI generated music becomes more widespread, systems capable of tracking content origins, usage history, and rights ownership information will become increasingly important.
Türkiye also needs an approach aligned with international developments one that safeguards the rights of artists and rights holders while allowing technological innovation to move forward.
The future of the music industry will not be shaped solely by the ability to produce more content, but also by ensuring that the rights under which that content is created, used, and protected are clearly established.
Because the ways we create music may change. But the responsibility to protect creators and rights holders remains.