A big biometric security company in the UK, Facewatch, is in hot water after their facial recognition system caused a major snafu - the system wrongly identified a 19-year-old girl as a shoplifter.
A big biometric security company in the UK, Facewatch, is in hot water after their facial recognition system caused a major snafu - the system wrongly identified a 19-year-old girl as a shoplifter.
The developers should be looking at jail time as they falsely accused someone of commiting a crime. This should be treated exactly like if I SWATed someone.
I get your point but totally disagree this is the same as SWATing. People can die from that. While this is bad, she was excluded from stores, not murdered
In the UK at least a SWATing would be many many times more deadly and violent than a normal police interaction. Can’t make the same argument for the USA or Russia, though.
You lack imagination. What happens when the system mistakenly identifies someone as a violent offender and they get tackled by a bunch of cops, likely resulting in bodily injury.
This happens in the USA without face recognition
That would then be an entirely different situation?
I mean, the article points out that the lady in the headline isn’t the only one who has been affected; A dude was falsely detained by cops after they parked a facial recognition van on a street corner, and grabbed anyone who was flagged.
That’s not very reassuring, we’re still only one computer bug away from that situation.
Presumably she wasn’t identified as a violent criminal because the facial recognition system didn’t associate her duplicate with that particular crime. The system would be capable of associating any set of crimes with a face. It’s not like you get a whole new face for each different possible crime. So, we’re still one computer bug away from seeing that outcome.
No, it wouldn’t be. The base circumstance is the same, the software misidentifying a subject. The severity and context will vary from incident to incident, but the root cause is the same - false positives.
There’s no process in place to prevent something like this going very very bad. It’s random chance that this time was just a false positive for theft. Until there’s some legislative obligation (such as legal liability) in place to force the company to create procedures and processes for identifying and reviewing false positives, then it’s only a matter of time before someone gets hurt.
You don’t wait for someone to die before you start implementing safety nets. Or rather, you shouldn’t.
I’m not so sure the blame should solely be placed on the developers - unless you’re using that term colloquially.
Developers were probably the first people to say that it isn’t ready. Blame the sales people that will say anything for money.
It’s impossible to have a 0% false positive rate, it will never be ready and innocent people will always be affected. The only way to have a 0% false positive rate is with the following algorithm:
def is_shoplifter(face_scan):return False