The Daily Mail Checked a Viral Clip Through UncovAI
When a short music video teaser started a debate over whether it was AI-generated, the Daily Mail ran it through UncovAI and reported a 93% score. Numbers like that travel fast. Here is what a detection score tells you, and what it doesn't.
AI video detection estimates whether a video was generated or altered by AI. The result is a signal to investigate, not a verdict on how a video was made or who is responsible.
What the Daily Mail reported
In an article published on 27 October 2026, the Daily Mail covered a 10-second teaser for a music video that Amanda Bynes shared on Instagram. According to the report, some fans commented that the clip looked AI-generated, and others noted that the choreography resembled a video released by Blackpink's Jennie in March 2025.
The Daily Mail also reported that when it ran the clip through UncovAI's online video detector, the model returned a 93% score for AI generation.
We're leaving aside everything else in that story. This post is only about the detection question. UncovAI's result describes a file, not a person, and it makes no judgment about anyone's choices.
What an AI video detection score tells you
It is a signal
A high score means the model found patterns it associates with generated video. That is a reason to look closer.
It describes one file
The result applies to the clip that was analysed, in the quality it was analysed. A different copy can score differently.
It does not show intent
A detector cannot tell who made a video, whether it was disclosed, or whether the person in it approved it.
It needs context
The original source, creator statements and other evidence matter as much as the number.
Why short social clips are hard to judge
Most videos people argue about online have been through several steps before anyone analyses them. They are compressed by the platform, cropped for a feed, re-uploaded or screen-recorded. Each step can change the signals a detector reads.
Music videos add another layer. Stylised lighting, filters, motion tracking and visual effects are normal production tools, and they can look unusual to a model. Detection works best as one input among several.
Calling a real video fake can hurt a creator. Missing a fake can mislead an audience. Both errors are why scores need careful interpretation.
How to check a suspicious video yourself
Find the original. Look for the account that first posted it and any official release.
Look for disclosure. Creators and studios increasingly label AI use. Check the caption, credits and description.
Check provenance data. Some files carry content credentials such as C2PA, though the data can be stripped.
Run a detector. Use UncovAI's video detection on the best-quality copy you can find, and read the score as one signal. For scams and impersonation, the AI scam and deepfake detector covers the wider picture.
Compare the evidence. A high score, no original source and no disclosure tells a different story than a high score with a clear creator statement.
Questions about AI video detection
What does a 93% AI-generated score mean?
It is the detector's confidence output for that specific file. It is a strong signal that deserves follow-up, but it is not proof of how the video was made, and it says nothing about who made it or why.
Can an AI video detector be wrong?
Yes. Heavy compression, re-uploads, screen recordings, filters and legitimate visual effects can all affect results. That is why a score should be checked against the source and other evidence.
Can UncovAI prove a video is AI-generated?
No detector can offer proof on its own. UncovAI gives an estimate of whether a video was generated or altered. The conclusion should rest on that result plus source checks and context.
How can I check whether a video is AI-generated?
Find the original source, look for disclosure or credits from the creator, check for provenance data such as C2PA where it exists, and run the file through a detector. Use the results together, not one at a time.
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