Artificial intelligence is increasingly being used by musicians, estates, and producers to recover old performances, reconstruct familiar voices, and finish unreleased songs that were previously left incomplete. From the Beatles using machine-learning technology to isolate John Lennon's original vocals for their final track "Now and Then," to the posthumous album by underground rapper Eyedea using voice-cloning technology to bring unreleased teenage lyrics to life, artists are exploring new ways to access forgotten archives. Additionally, songwriters like Black Sabbath bassist Geezer Butler and The Who guitarist Pete Townshend have expressed interest in utilizing AI tools to develop guide vocals and test arrangements for decades-old material.
At the same time, this technological advancement brings important distinctions between restoring an actual performance and generating a synthetic one. While authorized family projects and collaborations offer emotional appeals for fans, unauthorized creations like the 2023 viral track mimicking Drake and the Weeknd highlight major concerns regarding consent, ownership, and copyright. A person's voice is deeply tied to their identity, creating complex legal and ethical questions about how digital imitations should be identified, especially when dealing with deceased artists who cannot give approval.
As the music industry continues to adapt to these developing tools, questions surrounding songwriting credit, royalties, and transparency remain critical. Audiences need to know whether they are listening to a genuine archival recording, a restored piece, or a digitally fabricated imitation, ensuring that artists retain meaningful control over their creative identities while deciding which historical material ultimately deserves to be heard.
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