Artificial intelligence is becoming a bigger part of the music industry. Today, generative AI can help create beats, melodies, lyrics, instrumentals, and even realistic sounding vocals. For independent musicians, these tools can open doors because they may make music production easier and less expensive. At the same time, the technology creates serious questions about copyright, ownership, credit, and payment. My research question is How is generative AI changing copyright, ownership, and credit for independent musicians? My position is that generative AI can be a helpful creative tool for independent musicians, but clearer protections are needed so artists do not lose control of their music, voices, credit, or ability to earn money from their work.
One positive side of generative AI is that it can give independent musicians access to tools that may have been expensive or difficult to use in the past. Musicians who do not have a large budget may not be able to hire producers, musicians, engineers, and other professionals for every project. AI tools can sometimes help them experiment with sounds or create parts of a song on their own. Mycka and Mańdziuk (2025) explain that artificial intelligence is being used in several areas of music, including music generation, classification, and recommendation. Their research also discusses the growing copyright concerns connected to AI-generated music. Artificial intelligence in music: recent trends and challenges For an independent artist, this could create more freedom. A musician could try out an idea before paying to record it professionally. They could experiment with different sounds or use AI to help with an early version of a beat. I do not think this automatically makes the musician less creative. Technology has been part of music production for a long time. The larger question is how much control the artist keeps over the final work.
One of the biggest questions involving AI music is who owns the finished song. Berkowitz (2024) discusses the idea of humans and AI working together in music creation, sometimes called human AI cocreation. The article explains that musicians are already using AI tools in music, while copyright and cataloging policies are still trying to decide how AI should be treated when it contributes to a creative work. DOI This becomes complicated when a human musician creates part of the work but AI creates another part. For example, an artist might write the lyrics, choose the mood of the song, and decide how everything should sound, while an AI program creates an instrumental. Another artist might create the beat themselves but use AI-generated background vocals. In those situations, I think the human creator should still receive recognition for the creative decisions they made. However, it should also be clear when AI played a major role in creating part of the work. The U.S. Copyright Office has also been studying this issue. Its AI initiative examines questions involving the copyrightability of AI-generated work and the use of copyrighted materials to train AI systems. U.S. Copyright Office This is especially important for independent musicians because they may not have attorneys or record labels helping them understand complicated copyright rules.
This U.S. Copyright Office webinar explains how copyright registration works when a creative work contains AI-generated material.
Another major concern is the ability of AI to recreate a person’s voice. A singer’s voice can be one of the most recognizable parts of their identity. If someone uses AI to create a fake song that sounds like a real musician, listeners may believe the musician actually recorded or approved the song. The U.S. Copyright Office’s report on digital replicas examines AI-generated copies of a person’s voice or appearance. The Copyright Office has said that existing legal protections have gaps and recommended stronger federal protections against unauthorized digital replicas. U.S. Copyright Office This issue could be especially difficult for independent musicians. A major artist may have a label, management team, and lawyers who can respond quickly when someone copies their voice. An independent musician may have to handle the problem alone. I think musicians should have a clear right to know when their voice or identity is being copied and should have ways to challenge unauthorized uses. AI should not make it acceptable for someone to create a fake performance and make people believe it came from the real artist.
Credit is another important issue because music is not only about making money. Artists also want people to know that they created their work. The U.S. Copyright Office’s economic research explains that it can be extremely difficult to identify every creator whose work contributes to an AI model. The report states that “crediting millions or billions of creators is likely to be impractical” (Lutes, 2025, p. 35). U.S. Copyright Office That problem does not mean credit should simply be ignored.If an AI system is trained on a huge amount of music, it may be difficult to trace exactly how one particular song affected the final AI output. Still, I think companies should be as transparent as possible about the types of material used to train their systems. For independent musicians, recognition can be especially important. They may be trying to build a name, find listeners, and grow their careers. If their work contributes to new technology but they receive no credit, it can feel as if their creativity is being used while they remain invisible.
Money makes this issue even more complicated. The Copyright Office’s economic report looks at how generative AI could affect the market for human created work and how copyrighted material is used during AI training. It also discusses licensing as one possible way of handling some of these issues. U.S. Copyright Office Licensing would mean that an AI company could receive permission to use certain copyrighted materials, possibly in exchange for payment. There are already examples of companies licensing large collections of material for AI training. U.S. Copyright Office I think some type of licensing system could be fairer than simply taking creative work without asking. At the same time, it could be difficult to create a system that pays every individual musician when millions of works are involved. This is one reason independent musicians should be part of the conversation about AI rules. If only large companies and major record labels are involved in making the rules, smaller artists may be left out even though the rules affect them too.
Independent musicians cannot control every change happening with artificial intelligence, but they can still take steps to protect themselves. Artists can keep records showing when they created songs, beats, lyrics, and recordings. They can also pay attention to the terms of service for AI tools before uploading their music. If a platform is allowed to use uploaded material for training, musicians should know that before agreeing. Artists should also be careful about which AI programs they use. A tool that clearly explains where its training material comes from may be a safer choice than one that provides little information. I also think musicians should be open about their own use of AI. If AI helped create a major part of a song, being transparent about that can help listeners understand the creative process.
Generative AI does not have to be the enemy of musicians. It can give independent artists new ways to create, experiment, and produce music without needing the same amount of money or equipment that might have been required in the past. The problem begins when the technology moves faster than the rules protecting the people who create the original work. Independent musicians need clearer protections involving ownership, copied voices, training data, credit, and payment. AI companies should also provide more information about how their systems are trained and how creators work is used. Moving forward, the goal should not be to completely remove AI from music. Instead, the goal should be to create a system where technology can continue to grow without treating human creativity as free material that can be taken without permission. Independent artists should be able to benefit from AI while still keeping control over the music, voice, and identity that make their work their own.
References
Berkowitz, A. E. (2024). “Gimme some truth”: AI music and implications for copyright and cataloging. Information Technology and Libraries, 43(3).
Article and DOI
Lutes, B. A. (Ed.). (2025). Identifying the economic implications of artificial intelligence for copyright policy: Context and direction for economic research. U.S. Copyright Office.
U.S. Copyright Office report
Mycka, J., & Mańdziuk, J. (2025). Artificial intelligence in music: Recent trends and challenges. Neural Computing and Applications, 37, 801–839.
Article and DOI
U.S. Copyright Office. (2024). Copyright and artificial intelligence, part 1: Digital replicas.
Copyright Office AI report page
