YouTube expands its AI facial recognition technology to celebrities

YouTube is expanding its new “match recognition” technology, which identifies AI-generated content, as deep, to people in the entertainment industry. he announced the second.

The technology works in a similar way to what is available on YouTube Product ID systemwhich detects copyrighted material in user-uploaded videos, allowing the owner to request that it be taken down or share in the video’s revenue.

Facial recognition does the same thing, but for matching faces. This feature is designed to protect creators and third parties from being used without their permission – a common problem with celebrities who find their likenesses have been used in fraudulent advertising.

This technology was first introduced to a a subset of YouTube creators in the test program last year in the past growing too much including politicians, government officials and journalists this spring.

Now YouTube says the technology is being offered to those in the entertainment industry, including talent agencies, management companies, and celebrities they represent. The company has support from major agencies such as CAA, UTA, WME, and Untitled Management, who provide feedback on the new product.

Using a fan discovery tool does not require entertainers to have their own YouTube channels.

Instead, the feature analyzes data generated by AI to recognize the facial expressions of subscribers. Users can choose to request video removal for breach of privacy laws, submit a copyright removal request, or do nothing. YouTube says it doesn’t remove everything, because it allows content that is offensive and offensive under its rules.

In the future, the technology will also support audio, the company says.

Related to this, YouTube has been promoting similar protections in the state, with the help of a NO FAKES Act in Washington, DC This could lead to the use of AI to create unbiased reconstructions of human speech and expressions.

The company has yet to say how many AI deepfakes have been removed by the tool so far, but it noted in March that the number of removals was “very low.”