Universal Music Group and TikTok’s Deal Secures Artist Royalties and AI Protections


Universal Music Group and TikTok have signed an agreement that will keep artists including Taylor Swift, Kendrick Lamar, Sabrina Carpenter and Noah Kahan playing on the platform for years to come.

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The announcement didn’t disclose financial terms or even how long the agreement will last (“multi-year” was the phrasing), but it appears the companies have permanently put behind them a royalties dust-up from 2024 that at one point prompted UMG to pull its music from TikTok for three months.

UMG said in its announcement that the new agreement builds on a partnership it began with TikTok in 2024 and incorporates “expanded marketing and advertising campaigns, as well as access to e-commerce and other artist-centric tools.” Presumably, this means UMG artists will have additional features available to sell merchandise and promote their music tours or album drops on TikTok. 

The agreement, UMG said, also includes provisions to provide artists with “AI protections that promote human artistry and ensure platform economics effectively flow through to artists and songwriters.” TikTok and UMG will work to remove “unauthorized AI-generated music from the platform” and there will be improvements to artist and songwriter attributions, according to the companies.

UMG’s other recent AI-related deals

Screen shot of the TikTok app warning the user the song they selected for their content was no longer available.

TikTok creators saw messages like this in 2024 if they had used music from Universal Music Group artists durign a royalties dispute between the companies.

Screenshot by Gael Fashingbauer Cooper/CNET

UMG and TikTok’s announcement comes shortly after a separate agreement with Spotify that seems to go the other way on AI: It will allow fans to create remixes and cover songs of UMG music using artificial intelligence tools. 

The Spotify feature won’t be part of the service by default: Subscribers will have to pay extra, even if they’re on Spotify Premium, to use those features. There’s no launch date yet for the new Spotify AI tool to create those covers or remixes.

UMG has signed other AI deals with Nvidia, Splice and music-generator company Udio over the last year.





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Researchers in South Korea developed a wearable system that uses seven smart rings to read finger and hand motions to translate American Sign Language and International Sign Language into text. The purpose is to make communicating easier between those who sign and nonsigners without needing a separate human interpreter. 

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According to the study, published Friday in the journal Science Advances, the system reliably recognized 100 ASL and ISL words during testing. It also performed well with users the system had not seen before, and it didn’t require recalibration for each person. Because the system detects words in sequence, it can produce sentence-level translations without extra training on grammar. 

ASL and ISL are the everyday languages of more than 72 million deaf and hard-of-hearing people. However, most hearing people do not know any words in these languages or have a very basic understanding. That gap makes certain tasks, like ordering at a restaurant or asking for help, much more difficult. 

A graphic shows two illustrated people talking in sign language, ASL and ISL. The graphic also shows the different components of the ring as well as pictures of hands modeling the rings.

A concept of how the rings work in the real world. 

American Association for the Advancement of Science (AAAS)

Existing sign language translator prototypes often rely on bulky gloves that can distract from or block natural hand movement or feel uncomfortable for the wearer, which limits real word adaption. Camera-based technologies can work well in controlled environments but are often limited to those places where a camera can be set up with a clear line of sight, the researchers wrote. 

To solve these problems, the researchers designed sensing rings for each finger that can capture precise motion and finger position while letting the hands move naturally. The rings can detect both signs that involve movement, like the words for “dance,” “fly” and “sun,” and signs that are held still, like “I” and “you.”

“These advances suggest that [the device could enable] barrier-free public translation systems for unseen users and unrestricted daily assistive interfaces,” the authors wrote in the study. 

The authors are affiliated with Yonsei University, Hankuk University of Foreign Studies and the Korea Institute of Science and Technology, among others. While the technology is still experimental, the authors wrote that the technology has the potential to ease communication difficulties. The underlying idea could also help improve controls for other systems, like virtual or augmented reality.

“Beyond sign language translation, the ring-type, wireless, and modular architecture of (wirelessly connected, ring-type sign language translators) may also be extended to other gesture-driven applications such as virtual or augmented reality control, touchless device interfaces, or rehabilitation monitoring systems where fine-grained hand movement tracking is essential,” they wrote.





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