I bet the manufacturers of these surveillance systems leave a wink wink way for authorities to slip a name in their systems as a hit for something too.
Facial recognition has an inherent bias as well, or at least it did not too long ago. It was mostly trained on white people, so it’s accuracy with non whites was really bad. I’m sure the training data is far more robust now, but that doesn’t necessarily mean better.
If you have a reasonable group of people like a friends and family group, you can get machine learning to be very accurate (with odd exceptions like babies and twins). But what is 99% accurate for 50 people will almost universally give false positives when searching a group of 50 million faces. The math just doesnt work for them.
Come to think of it, how accurately can facial recognition tell apart to people who look very similar?
Zero. Zero accurately. They don’t even talk about it, because they don’t care. The arbitrary cruelty is a bonus feature.
I bet the manufacturers of these surveillance systems leave a wink wink way for authorities to slip a name in their systems as a hit for something too.
Facial recognition has an inherent bias as well, or at least it did not too long ago. It was mostly trained on white people, so it’s accuracy with non whites was really bad. I’m sure the training data is far more robust now, but that doesn’t necessarily mean better.
If you have a reasonable group of people like a friends and family group, you can get machine learning to be very accurate (with odd exceptions like babies and twins). But what is 99% accurate for 50 people will almost universally give false positives when searching a group of 50 million faces. The math just doesnt work for them.
This has happened