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Feeding in doctored images, grainy social media pics of people that look "kinda similar" and other garbage data into these tools just to generate a list of poss
by dsfyu404ed 7y ago
Feeding in doctored images, grainy social media pics of people that look "kinda similar" and other garbage data into these tools just to generate a list of possible suspects is a surefire way to generate garbage matches (i.e. non-matches).
I don't see how this is any better than just putting all the names of people who have the same demographic info into a hat and picking a set of them.
I guess incompetence might be the thing that saves us from a truly effective Orwellian state.
- jacobush 7y agoIt won't save us from a truly pervasive mafia state though.
- bsenftner 7y agoI write FR software, and this practice irritates the fuck out of me. A common phrase in the industry is you can't anticipate what stupid users won't do, and this is a clear case of end-users sticking their fingers into powered light sockets, at the expense of the general public's safety by the very agency enlisted to protect the public. The stupidity is amazing. If there is ever any regulations around FR's use, probing with doctored or "looks like" images needs to be illegal or at minimum no grounds for any warrant of any kind.
- adossi 7y agoIf the FR were to learn based on input I could see how feeding it doctored images would screw it up in the long run. But if its just the FR utility, minus any ongoing machine learning, how does this effect the public's safety exactly? Not disagreeing just curious.