Comment by selcuka
6 months ago
0.01% of 65M is 6,500. Also apparently only 70K people uploaded their IDs.
That being said, you can still hash faces and metadata (such as ID numbers) instead of storing the whole ID as a scanned photo, if the information is only used for duplicate checking. Hashing does not increase the racial bias. If your model has a bias it will always have a margin of error.
neat, but how do users appeal a false positive? Do companies just trust the users or should the company retain the original information so they can manually verify?
Fair point, but how does the appeal process work today? Even if the company stores someone else's ID in JPEG format, and the customer service claims that the photo on that ID looks very similar to my photo, is it sufficient proof? Should the company trust me, or should I trust the company? I don't think storing hashes makes it more complex.
Fraudsters (may) trick AI by holding up a photo copied version of the original tricking the AI to think its looking at the real thing.
Either the fraudster or the true human can request an appeal and the support staff could easily tell which one is tricking the AI and which one is not.
You can see all the videos of people trying to trick the Apple face lock. To a human, it was obvious they are wearing a mask. To the device, its the same person.