Behind the promise of easily accessible AI-generated music lies a silent realignment of responsibilities, where uncertainty regarding copyright is becoming the norm. This ownership vacuum effectively shifts the legal and financial risk to the producers.

Music supervisors face growing challenges, notes Chris Castle in a post published on Music Technology Policy. Risks associated with the use of music generated by artificial intelligence (AI). This raises questions regarding logistics, contracting, and insurance. Platforms such as Suno and Udio offer AI-generated music tracks, but they create unprecedented uncertainty regarding the chain of ownership and copyright, thereby shifting legal and financial risk to the productions that use them. Furthermore, it is difficult for « music supervisors » to determine the origin of the tracks, creating a « ownership gap » that complicates rights management, as the generated tracks are often not accompanied by clear information on authorship or usage rights.

Risks of Infringement

The legal uncertainty surrounding these tracks, which often originate from training data containing copyrighted works, leaves supervisors in a precarious position, exposed to infringement risks without practical mechanisms to identify or report them. This could potentially create a crisis in already fragile copyright management systems. In a context where productions must provide detailed rights documentation to secure funding, the growing complexity associated with the use of AI-generated music could make risk management more difficult, potentially pushing productions to favor traditional composers who can guarantee clear and verifiable rights.

Legal and Ethical Challenges of AI-Generated Music

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