4 ms·
> 99.999% accuracy OK, so for a given facial profile, 0.001% of people passing in a crowd will be incorrectly identified as a match. That's 1 in 100,000 people
by droithomme 7y ago
> 99.999% accuracy
OK, so for a given facial profile, 0.001% of people passing in a crowd will be incorrectly identified as a match. That's 1 in 100,000 people who pass by will be incorrectly matched against a particular profile, correct? How many people walk past this camera? 1000 in a day? How many cameras are deployed in an area? How many facial profiles does it have in its database that it is checking against?
It seems to me that if you have a lot of faces you are looking for and a big crowd, or even a modest crowd, then you are going to get a lot of false positives. Now if the wanted person walks past the camera then it has a chance to get its identification correct. If they don't walk past that camera there's no chance to get its identification correct. A given streetcorner with a camera where 1000 people walk past in a day may be in a city with 5 million people, only one of whom is the wanted person, and who might never pass that streetcorner.
Given all this, if a match is triggered, what are the actual odds that the person is the right person? Is it more than 1 in 100? More than 1 in 1000? Does an officer have probable cause for an arrest if there is a 0.1% chance someone has done something? Do they have reasonable suspicion for a detention? Is the officer justified in shooting and killing the person who has had a facial match if they attempt to arrest the person and the person runs away?
- EForEndeavour 7y agoMaybe an unexpected benefit of AI-augmented law enforcement is that police, lawyers, and judges will be required to learn (more) applied statistics.