SZA Hits Out at 'Disgusting' AI Music
SZA said an AI music database showed 238 of her songs were used in training, including tracks she believes may be unreleased.
- Grammy Award winning singer-songwriter SZA criticized AI companies on Instagram yesterday after discovering 238 of her songs were used in training datasets, calling the technology "degenerate."
- The Atlantic recently released a detection tool revealing AI training datasets include more than 21 million songs, often without artist consent, prompting SZA to verify her catalog.
- SZA alleged that producer Diplo holds equity in Suno and actively targets Black writers and producers for training data, arguing AI disproportionately affects Black music lacking legislative protections.
- Two weeks ago, the American Federation of Musicians sued UMG and Warner Music over their alleged licensing of proprietary titles to AI music generator companies Suno and Udio.
- Suno defends its models using "Original Creation, By Design" strategies to prevent reproducing copyrighted material, though producer Kenny Beats argues training on unauthorized music obliterates the dreams of artists.
12 Articles
12 Articles
Singer SZA Slams DJ Diplo, AI Platform Suno, Claiming Exploitation of Black Artists: 'F**k These Weird Ass Vultures'
R&B artist SZA slammed Grammy-winning DJ and music producer Diplo and the generative artificial intelligence (AI) platform Suno, accusing them of exploiting of black artists and songwriters. "F**k these weird ass vultures," the "Snooze" singer proclaimed.
SZA, Kenny Beats speak out against their catalogs being used to train AI
Two weeks ago, the American Federation of Musicians sued UMG and Warner Music over their alleged licensing of proprietary titles to two “AI music generator” companies Suno and Udio. Last week, The Atlantic released a tool that allows anyone to search a comprehensive dataset of over 21 million tracks being used to train AI, often without the express consent of their progenitors. In testing the tool, the magazine found songs that strongly resemble…
Coverage Details
Bias Distribution
- 72% of the sources lean Left
Factuality
To view factuality data please Upgrade to Premium









