JAMII YA MARSABIT IMETAKIWA KUASI MBINU ZA KUKATA MITI NA KUCHOMA MAKAA ILI KUZUIA UHARIBIFU ZAIDI WA MAZINGIRA.
November 26, 2024
More than 200 music stars have come together to call for the “predatory” use of generative AI in the music industry to be stopped.
In an open letter signed by the likes of Katy Perry, Nicki Minaj, Billie Eilish, Sam Smith and Jon Bon Jovi, the letter was sent to machine-learning software companies, which called for tighter regulations on the technology in the industry to “protect against the predatory use of AI to steal professional artists’ voices and likenesses, violate creators’ rights, and destroy the music ecosystem”.
The letter, which was produced by the not-for-profit organization Artist Rights Alliance (ARA), read: “Make no mistake: we believe that, when used responsibly, AI has enormous potential to advance human creativity and in a manner that enables the development and growth of new and exciting experiences for music fans everywhere.
“Unfortunately, some platforms and developers are employing AI to sabotage creativity and undermine artists, songwriters, musicians and rights holders. When used irresponsibly, A.I. poses enormous threats to our ability to protect our privacy, our identities, our music and our livelihoods.
“Some of the biggest and most powerful companies are, without permission, using our work to train AI models. These efforts are directly aimed at replacing the work of human artists with massive quantities of A.I.-created ‘sounds’ and ‘images’ that substantially dilute the royalty pools that are paid out to artists. For many working musicians, artists and songwriters who are just trying to make ends meet, this would be catastrophic.”
The organization then warned that unregulated machine-learning software would “devalue” the work of musicians.
Jen Jacobsen who is the Executive Director at ARA said AI would only add to the “burden” for musicians who were already “struggling” with the streaming world, and warned of the consequences in store for both artists and fans if machine-learning algorithms go unchecked.