Photo credit: Anna Pou
The generative AI music platform Suno is currently involved in a high-stakes legal battle with major music labels, as it fights to keep the specific number of tracks used to train its models a secret. Labels like Universal Music and Sony Music are advocating for transparency regarding the training data, while Suno contends that disclosing the total volume of audio files used would reveal confidential business information. The company argues that this figure is a crucial aspect of its technology, and sharing it would allow competitors to unfairly benchmark and replicate its development process.
This dispute has drawn intervention from Inner City Press (ICP), which is urging the court to deny Suno’s request to keep legal documents containing the training tally confidential. Matthew Lee from ICP argues that the information is of significant public interest, especially for music professionals who want to understand how their recordings are utilised. Despite this pressure, Suno’s co-founder and CTO, Georg Kucsko, has submitted declarations stating that rival AI developers could leverage such data to enhance their own systems in comparison to Suno’s established models.
The outcome of this issue is still pending, as the industry closely watches how the court balances corporate secrecy with public interest. This case is part of a broader trend in AI-related litigation, with similar confidentiality concerns surrounding other startups like Udio. As major labels continue to expand their copyright infringement complaints, the question of how much copyrighted material contributes to the AI music revolution remains one of the most contentious points in the ongoing legal proceedings.
