Deezer starts labeling AI-generated music to tackle streaming fraud


Miser declared On Friday, as part of the efforts to combat the flow fraud, the AI ​​will begin to label the albums.

The company states that about 18% of the music that is loaded every day – more than 20,000 music – are now produced. Although most of these roads are viral, Deezer says about 70% of their flows are fake and the royalty is prepared to win fake.

To fight this, the AI ​​emerging traces in Deezer are now openly labeled. These tracks will not appear in the editorial playlists or algorithm-based recommendations and fake flows are filtered from royalties.

The company says new labels will be a game change in helping the audience to identify the difference between the people of music and the content of the AI.

Photo credits:Miser

Deezer notes that so far, only 0.5% of all the streams on the platform of songs only, but the trend is growing rapidly.

“We have discovered an important compatibility in the delivery of only one arising music in the last few months. We are ready to make the music of music in the industrial exercise, and the music that includes AI music,” said the AI ​​music in increasing transparency, “he said press release.

“The AI ​​is not essentially good or bad, but is the key to building a responsible and transparent approach to our users and the music industry,” he said. “At a time asking for the No Copyright Law in favor of the AI ​​models, we are also clear in our commitment to protect the rights of artists and song authors.”

Deezer focuses on two different ways to detect “unique signatures” used to explain the difference between Synthetic content and original content, which is applied for two patents in December 2024.

Moving Universal Music Group, Warner Music Group and Sony Music is reported to have fun In negotiations to give their work licensing AI Startings Udio and Suno. Beginners will help resolve copyright infringement and any agreement by record companies the case between them, Bloomberg This month was previously reported.



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