Having worked in this space (ID verification of live-humans to ID documents), yes, I absolutely think people are better at the 1:1 person:document yes/no question than I think an AI model is at saying which of 200M people this face is. Just having a prior of a physical document with their name and likeness on it already makes up 1 factor of the N-factor authentication.
>So the model is verifying faces against ... A database of zero faces? Surely there's 200M faces in there, or else how does it work?
No. The model is, "Hey! this guy is being a pain in the ass. He even claimed that The President wasn't blessed with superintelligence and doesn't actually smell really good!
We need to get this terrorist off the streets! He sure looks a whole lot like that illegal on the FBI most wanted list, doesn't he? Off to CECOT with him!
What's that? He's a twelfth generation citizen? No way! Look, the app I used to claim this guy matches an illegal who's also a child rapist!
Your papers are all fake (if, as a citizen he's even carrying them). Onto the plane with you Senor.
That's the model. Feel free to disagree, but come back and reread this comment in 18 months. I hope you read it then and think "what a paranoid guy! Nothing like that could ever happen here!" But I'm not holding my breath. :(
In 18 months the discussion will have moved on to make excuses for the conentration camps. Alligator Auschwitz and such camps must be much larger to hold everyone.
Are you saying that a computer should be trusted without human intervention? If so, I have a computer right now that says you should be banned on the Internet.
Please don't spread unscientific misinformation. You can say ICE bad, or you don't believe in borders, but saying computer facial recognition is inaccurate compared to humans is just factually incorrect.
Looks like GP is using ChatGPT (see the utm_source in their link) to find the first result that supports their viewpoint rather than doing a broad discovery and analysis
The horror! Someone using an LLM for basic information gathering like "is AI facial recognition accurate compared to humans?" rather than going off vibes or one off sensationalized articles.
People are exceptionally good at facial recognition because of the Fusiform face area, which is a specialized portion of the temporal lobe optimized for it.