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by joemag
2577 days ago
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Flagging “America’s most wanted” in public places like train stations or airports. Looking for missing children. Having home automation react differently to different family members. Those are all usages I am personally totally ok with. |
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To illustrate lets imagine a really really good system that had a 0% false negative rate¹ , and a 0.000001%² false positive rate. If we were to sample the entire country looking the the FBI's most wanted we would end up with ~3290 matches, 3280 of which are going to be other people³.
Considering high value of the individual the chances of harassment or wrongful arrest (or worst) is pretty high.
1: In reality the false negative and false positive rate are going to be directly inversely related. The more you decrease the false positive rate the higher your false negative rate is.
2: That is 1 in 1 million
3: In this ideal situation it is assuming there is an even distribution. At this point computer vision is significantly worst for false positives for people of color.