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Rolling Stones frontman Mick Jagger has expressed strong opposition to the use of artificial intelligence to imitate his voice or likeness in music.

Speaking in a recent cover story for Billboard, the legendary singer detailed his discomfort with the prospect of generative technology being used to replicate his unique artistic output. Jagger suggested that true creativity and the use of AI to mimic existing artists are fundamentally at odds.

Artist opposition to AI replication

The Rolling Stones vocalist argued that the essence of being a creative individual precludes the desire to be replicated by machines. He indicated that any person dedicated to the craft of original creation would likely avoid using technology to substitute authentic human performance.

This sentiment aligns with broader concerns within the music industry regarding copyright, intellectual property, and the potential devaluation of human artistry. As AI tools become more sophisticated, artists are increasingly vocal about the protection of their sonic identities.

Keith Richards supports original sound

Jagger's bandmate and fellow Rolling Stones icon, Keith Richards, echoed these views during the same feature. Richards expressed a clear preference for human-led composition over synthetic alternatives.

"I'd rather hear something original than an AI creation," Richards stated.

The consensus between the two musicians highlights a significant divide between technological advancement and traditional artistic values. While AI offers new tools for production, the veterans of rock music remain steadfast in their commitment to:

• Authentic human expression
• Originality in songwriting
• The preservation of individual vocal characteristics

The discussion comes at a time when the music sector faces unprecedented debates over the legality of training AI models on protected musical works. For established performers like Jagger and Richards, the focus remains on the tangible connection between the artist and the audience that technology cannot currently replicate.