31–40 of 174 posts
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The targets for the AI are still set by humans, the data the AI was trained on is still created by humans. Involving a computer in the system doesn't magically make it less biased.
Don't we already have facial recognition technology that isn't based on AI? why is throwing AI into the mix suddenly a reasonable product? Liability wavers?
And this right here is why Clearview (and others) should have been torn apart back when they first appeared on stage. I 'member people who warned about something like this having the potential to be abused for/by the government, we were ridiculed at best, and look where we are now, a couple of years later.
"This cannot happen here" should be classified as a logical fallacy.
Wear a face mask in public. Got it.
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Wear a face mask in public. Got it.
Don't we already have facial recognition technology that isn't based on AI? why is throwing AI into the mix suddenly a reasonable product? Liability wavers?
If my memory serves me, we had a PCA and LDA based one in the 90s and then the 2000s we had a lot of hand-woven adaboosts and (non AI)SIFTs. This is where 3D sensors proved useful, and is the basis for all scifi potrayals of facial recognition(a surface depth map drawn on the face).
In the 2010s, when deep learning became feasible, facial recognition as well as all other AI started using an end to end neural network. This is what is used to this day. It is the first iteration pretty much to work flawlessly regardless of lighting, angle and what not. [1]
Note about the terms AI, ML, Signal processing:
In any given era:
- whatever data-fitting/function approximation method is the latest one is typically called AI.
- the previous generation one is called ML
- the really old now boring ones are called signal processing
Sometimes the calling-it-ML stage is skipped.
[1] All data fitting methods are only as good as the data. Most of these were trained on caucasian people initially so many of them were not as good for other people. These days the ones deployed by Google photos and stuff of course works for other races as well, but many models don't.
Don't we already have facial recognition technology that isn't based on AI? why is throwing AI into the mix suddenly a reasonable product? Liability wavers?
I think the facial rec systems you're thinking of will recognize faces, but not ID them. They need you to label a face, and then it recognizes that face with a name from there on. Clearview is different in that you can provide it an unknown face and it returns a name. Whether it's just some ML based AI vs an LLM, it's still under the AI umbrella technically.