https://www.aclu.org/news/privacy-technology/police-say-a-si...
> And in New Jersey, police wrongfully arrested Nijeer Parks in 2019 after face recognition technology incorrectly flagged him as a likely match to a shoplifting suspect. An officer who had seen the suspect (before he fled) viewed the face recognition result, and said he thought it matched his memory of the suspect’s face.
I bet this officer also sent the same email: "That’s him! Thank you very much," before arresting an innocent man.
I'd like to emphasize that this is arguably the same method (facial similarity) being attempted twice, rather than two different and independent methods. While a marginal improvement, each attempt could go wrong for shared or similar reasons--for example, facial-recognition AI can also suffer from the "all those minorities look alike" problem.
Consider the contrast between:
1. "A human who saw the culprit's face believes your face matches, and a computer looking at video-footage agreed."
2. "A human who saw the culprit's face believes yours matches, and your car is the same color and model as the car the culprit drove off in."
Obviously computer + car make would be the best combo?
'Austin police officers have received the results of at least 13 face searches from a neighboring police department since the city’s 2020 ban — and have appeared to get hits on some of them, according to documents obtained by The Post through public records requests and sources who shared them on the condition of anonymity. “That’s him! Thank you very much,” one Austin police officer wrote in response to an array of photos sent to him by an officer in Leander, Tex., who ran a facial recognition search, documents show. The man displayed in the pictures, John Curry Jr., was later charged with aggravated assault for allegedly charging toward someone with a knife, and is currently in jail awaiting trial. Curry’s attorney declined to comment.'