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Spotting AI-Generated Images and Videos: A Practical Checklist

1Why Detection Is a Judgment, Not a Test2Visual Clues in AI-Generated Images3Visual Clues in AI-Generated Video4Context and Content Clues5Metadata and Provenance Signals6A Practical Checklist and Common Traps
A Practical Checklist and Common Traps

Weighting Clues and the False Alarms That Fool You

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The list of false alarms is the heart of this page, so walk through why each one fools people. Compression and low light smear edges in real photos, so a smeared edge is not proof of generation. Beauty filters smooth skin into the waxy texture people associate with AI. Wide-angle lenses bend hands and faces, so odd proportions can be optical. Stylized art breaks lighting on purpose. Screenshots lose metadata, so a missing EXIF block is normal in authentic media. And motion blur in real video looks like temporal flicker. Every one of these is a genuine artifact with an innocent cause, which is why you need several independent clues pointing the same way before you raise your confidence.
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Clues are not equal

Rank clues by how hard they are to produce accidentally. A verified content credential, or motion that violates physics across several frames, is hard to explain away and should shift your confidence a lot. A single odd hand, a smeared hair edge, or a missing metadata block is easy to produce accidentally and should shift it only a little. When a strong clue and several weak clues disagree, the strong clue usually wins — but say so explicitly rather than averaging silently.

Common false alarms and why they happen

  • Heavy compression and low light smear edges and blur fine detail, mimicking texture artifacts in genuine photos.
  • Aggressive beauty or noise-reduction filters smooth skin and hair into the waxy look often read as AI texture.
  • Wide-angle and fisheye lenses bend hands and faces, producing proportions that look anatomically wrong.
  • Stylized art, illustration, and heavy color grading break lighting and shadow logic on purpose.
  • Screenshots and re-saved files lose metadata, so a missing EXIF block is common in authentic media.
  • Motion blur and rolling shutter in real video create frame-to-frame differences that resemble temporal flicker.

Why these traps matter

Each false alarm is a real artifact with an innocent cause. That is exactly why no single clue is conclusive: the same visible feature can come from generation or from ordinary capture and processing. The defense is not to find a better single clue but to require several independent clues pointing the same way before raising confidence.

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