YouTube is rolling out its ‘industry-first’ likeness detection tool to all channel owners, and not just big content creators — but you’ll need to share your government-issued ID if you want the added layer of protection
Are you prepared to accept this trade-off?
- YouTube is rolling out its likeness detection tool to all channel owners over age 18
- It's designed to detect if your identity is being used in AI-generated content
- You have to submit a government-issued ID for verification, which hasn't gone down well with creators
YouTube’s commitment to safeguarding its users against harmful AI-generated content is ongoing, and the company has shared that it’s rolling out its likeness detection tool to all channel users over the age of 18.
The platform debuted likeness detection in October 2025, allowing content creators to flag AI-generated video clones, but this was only available to well-known influencers in the YouTube Partner Program. The tool was then expanded to include celebrities, and it’s now coming to all channel owners through a gradual rollout over the coming weeks.
In short, YouTube’s likeness detection tool is designed to help you manage how AI is used to depict you, examining videos across the platform to identify if your face is being used without your permission. This includes everything from videos featuring slightly altered, modified versions of your facial likeness to fully AI-generated deepfakes.
“As AI-generated content continues to evolve, we’re committed to creating an environment where you can upload content to YouTube while staying in control of your likeness,” the platform shared in its announcement, adding, “Our goal is to provide you with more peace of mind by giving you easy access to request the removal of unauthorized content that violates our Privacy Guidelines”.
There are many sides to YouTube’s flagship protection function. While its main aim is to safeguard your identity from AI and other unauthorized use, it’s designed to give you more control over your digital identity while also ensuring that your viewers aren’t misled by videos that may impersonate you.
If likeness detection identifies a possible match, it will flag the content it believes contains your identity in the YouTube Studio hub, where creators can view it and decide what action they wish to take. From there, you can submit a likeness removal request if you believe the content breaches YouTube’s privacy policy. You can also submit a legal copyright removal request if your original copyrighted content was used elsewhere without your permission.
That said, before you can enable likeness detection for your YouTube channel, there’s one trade-off you’ll have to be willing to make in order to continue the verification process — and that’s submitting a government-issued ID to YouTube.
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That’s wherein the catch lies, and it sounds a bit counterintuitive for a feature that’s designed to protect your identity. If this were an age verification matter to protect younger viewers from accessing age-proofed content, it seems pretty fair enough, as government-issued IDs confirm your age in black and white.
However, for creators who regularly upload content to YouTube, the platform already has access to your videos where your facial identity is on full display, so why would YouTube need your ID when it already uses images of your face from your content to detect videos where your identity may be used in deepfakes?
When YouTube first announced likeness detection, many creators felt the same way about having to verify their identity this way. One user on Reddit shared that despite having access to it, they decided not to use it, writing, “[YouTube’s] got enough of my face and I don’t trust them with any more than I need to”.
Other creators have taken to it more lightly, but are still skeptical about its legitimacy; “This will just be one more tool they'll use to punish anybody that they don't like, typical for YouTube with their constant manipulations behind the scenes,” a fellow Reddit user and YouTube creator added.
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Rowan is an Editorial Associate and Apprentice Writer for TechRadar. A recent addition to the news team, he is involved in generating stories for topics that spread across TechRadar's categories. His interests in audio tech and knowledge in entertainment culture help bring the latest updates in tech news to our readers.
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