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Man Says Police AI System Made Big Mistake in Child Crime Case

June 10, 2026 · CBS News

Richard Dillon was wrongly arrested after facial recognition software matched him to a suspect he didn't resemble.

Police officers around the country use special computer programs to help solve crimes. These programs can look at pictures and try to find matching faces in databases. The technology is called facial recognition, and it's used by police departments across America. But sometimes these computer programs make mistakes that can hurt innocent people.

Facial recognition works by comparing features like the distance between eyes or the shape of a nose. The computer looks at millions of photos stored in databases. When it finds faces that look similar, it gives police a list of possible matches. Police are supposed to investigate further before making any arrests.

However, the technology isn't perfect and can be fooled by poor lighting or bad camera angles. Photos that are too dark, blurry, or taken from the side don't work as well. Even when the computer says there's a high percentage match, it could still be wrong. That's why experts say police should never rely only on what the computer tells them.

The case of Richard Dillon shows what can happen when police trust the technology too much. His experience has sparked new discussions about how police should use facial recognition. Many people want stronger rules about when and how this technology can be used in criminal investigations.

AI says I did this, how am I going to prove that I didn't?

Comprehension quiz preview

1. What crime was Richard Dillon accused of?

  • AStealing from a store
  • BTrying to take a child from McDonald's
  • CBreaking into a house
  • DFighting with someone

2. How far away was Dillon when the crime happened?

  • A100 miles
  • B200 miles
  • C300 miles
  • D400 miles

3. What percentage match did the facial recognition system report?

  • A85%
  • B90%
  • C93%
  • D97%

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