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In depth

How to spot audio, photos and videos made with artificial intelligence

A security scanner on a conveyor belt checking paintings, photos and music discs

In brief

How to spot a photo made with AI

Look at the details: hands and fingers, teeth, earrings that do not match, unreadable writing in the background, inconsistent shadows and reflections, skin that is too smooth, objects that merge into one another. These are useful clues, but recent models make fewer and fewer of these mistakes.

How to spot a video

Watch the sync between lips and voice, the blinking, the edges of the face when the person turns their head, flickering in the hair and background, and body movements that do not add up. In short, low-resolution videos it is harder.

How to spot AI-generated audio

Cloned voices tend to be uniform: little variation in tone, unnatural pauses, no breathing, no background noise. This is the territory of phone scams using the voice of a family member. The best defence is practical: hang up and call back the number you know, or agree a safe word within the family.

The check that works best: the source

Who published that content first? Are reliable news outlets reporting it? With a reverse image search you can see where and when a photo appeared. If a sensational piece of content exists only on an unknown profile, doubt is in order.

AI detectors and labels

There are tools that estimate whether content is artificial, but they give false positives and false negatives: they are a clue, not proof. More promising are labels applied at the source: invisible watermarks and “content credentials” that record how a file was created. In Europe the AI Act requires deepfakes to be flagged.

Before you share

If a piece of content makes you angry or surprises you a great deal, stop for a moment: that is exactly the effect its maker is after. For the wider risks, see is artificial intelligence dangerous?

Frequently asked questions

How can you tell if a photo was made with artificial intelligence?

Check hands, writing, shadows and reflections, but above all verify the source with a reverse image search: visible flaws are becoming rarer.

Are AI detectors reliable?

Only in part. They can be wrong in both directions, so they should be used as a clue alongside checking the source.

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