this post was submitted on 24 Jan 2024
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Retailers increasingly are using facial recognition software to patrol their stores for shoplifters and other unwanted customers. But the technology’s accuracy is highly dependent on technical factors — the cameras’ video quality, a store’s lighting, the size of its face database — and a mismatch can lead to dangerous results.

Archived at https://web.archive.org/web/20240124124645/https://www.washingtonpost.com/technology/2024/01/22/facial-recognition-wrongful-identification-assault/

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[–] [email protected] 10 points 9 months ago

This is the best summary I could come up with:


A man was sexually assaulted in jail after being falsely accused of armed robbery due to a faulty facial recognition match, his attorneys said, in a case that further highlights the dangers of the technology’s expanding use by law enforcement.

Harvey Murphy Jr., 61, said he was beaten and raped by three men in a Texas jail bathroom in 2022 after being booked on charges he’d held up employees at gunpoint inside a Sunglass Hut in a Houston shopping center, according to a lawsuit he filed last week.

A representative of a nearby Macy’s told Houston police during the investigation that the company’s system, which scanned surveillance-camera footage for faces in an internal shoplifter database, found evidence that Murphy had robbed both stores, leading to his arrest.

The company said in a previous statement that it uses “facial recognition in conjunction with other security methods in a small subset of Macy’s stores with high incidences of organized retail theft and repeat offenders.”

But the technology’s accuracy is highly dependent on technical factors — the cameras’ video quality, a store’s lighting, the size of its face database — and a mismatch can lead to dangerous results.

The Federal Trade Commission last month said the pharmacy chain Rite Aid had misused its facial recognition system in a way that led to shoppers being falsely accused of theft, including in confrontations with police.


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