5 Matching Annotations
  1. Jan 2025
    1. It may be that many of those arrested on the basis of questionable face recognition searches did in fact commit the crime of which they were accused. But the possibility that they didn’t—that the face recognition system identified the wrong person—looms large in the absence of additional, independent police investigation and sufficient access to the evidence by the defense. This is risky, and the consequences will be borne by people investigated, arrested, and charged for crimes they didn’t commit.

      It becomes very hard to know whether the right person was identified or not, since, guilty or not, they would still say they did not commit the crime.

    2. A slide from NYPD FIS describing “Removal of Facial Expression” technique.

      Very interesting to splice a more neutral facial expression onto the photo.

    3. In early 2018, Google rolled out "Art Selfie" — an app designed to match a user's photo to a famous painting lookalike using face recognition.12 The result is an often-humorous photo pairing and an opportunity to learn more about art. Less humorous is the fact that some police departments do the same thing when looking for criminal suspects, just in reverse—submitting art in an attempt to identify real people.

      I have seen this before on my phone, when it looks for my look-alike, it shows me someone with the same head shape and maybe same facial feature placement, but not really someone who looks like me.

    4. The stakes are too high in criminal investigations to rely on unreliable—or wrong—inputs.

      This is too risky to fully trust because some people have the same face "definition" but aren't the right person.

    5. On the left: a slide from the NYPD FIS describing its "celebrity comparison" technique. On the right, a photo of Woody Harrelson.

      I thought it was interesting how they use a comparison to a celebrity to find a suspect.