Music attribution offers a way to identify the compositions, recordings, performances and creative choices that helped shape an AI-generated result. That information could support credit, consent, licensing and payment for artists.
In an interview, Benji Rogers discusses how attribution works and why reliable rights data matters. The conversation examines its potential to make uses of music more transparent, enable collaboration, protect creative identity and create economic opportunities.
Attribution is still developing. As artificial intelligence (AI) changes how music is made and used, decisions about ownership, permission and compensation could affect artists’ ability to earn from their work.
