Apple Music to Add 'AI-Generated' Tags
Apple Music is reportedly preparing to roll out "transparency tags" that will flag music and artwork created using artificial intelligence. The move aims to address authenticity and attribution as AI tools become more prevalent in the creative process.
Apple's new "Transparency Tags" will not be applied by Apple itself; instead, the company is making it a requirement for record labels and distributors to disclose when AI is used. This places the responsibility of identifying AI-generated content squarely on the content providers, a similar approach to how metadata for genres and credits is currently handled. The tagging system is designed to be granular, covering four distinct categories: the audio track, the musical composition (including lyrics), the album artwork, and the music video. This allows for a nuanced approach, acknowledging that AI can be used for specific elements of a project without generating the entire work. A "material portion" of any of these components being AI-generated will necessitate a tag. This move is part of a broader industry push for transparency as AI-generated tracks proliferate on streaming services. Competing platform Deezer, for instance, employs its own AI detection tools to identify and flag AI-generated music, a different strategy than Apple's self-reporting model. Spotify has also updated its policies to combat AI-driven spam and requires disclosures in song credits for AI usage. The rise of accessible AI music creation tools like Suno and Udio has led to a massive influx of machine-made content, with one report indicating 60,000 AI-generated tracks are uploaded to Deezer daily. This surge has intensified concerns about copyright, royalty payments, and the potential for market dilution, pushing platforms to establish clearer policies. The legal landscape surrounding AI music remains complex and largely unsettled. In the U.S., purely AI-generated content cannot be copyrighted and falls into the public domain, creating significant challenges for artists and platforms regarding ownership and royalty collection. This legal ambiguity underscores the importance of disclosure for establishing future industry standards. Apple's stated goal for the tags is to gather the necessary data to help the music industry develop more "thoughtful policies around AI." By requiring content providers to start classifying AI's role in the creative process, the platform is building a dataset that will inform future rules on everything from royalty splits to how AI-assisted music is categorized and recommended to listeners.
