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Re:Thoughts On Machine Learning Accuracy by stochastic_monk on Friday July 27, 2018 @04:39PM (#17629157)
Good luck getting law enforcement to properly interpret machine learning results. Look at how they still use disproven methods like bite marks to unjustly imprison innocent people.
Re:Thoughts On Machine Learning Accuracy by noway421 on Saturday July 28, 2018 @02:46AM (#17631954)
The product in question is Rekognition, which matches photos. It would be more verifiable by naked human eye than bite marks?

As long as the results are not taken as judgements, but only auxiliary tool, it would not be a concern.

The article indeed argues that any positive match should be vetted by a human.

Re:Thoughts On Machine Learning Accuracy by mcny on Saturday July 28, 2018 @09:02AM (#17632968)
> The article indeed argues that any positive match should be vetted by a human.

I have said before and I will say again: after the disaster that was the Amazon Fire Phone I have zero trust in any Amazon.com employee to pick up that any time phone to sound the alarm or if they do, I don't expect Amazon to "do the right thing". The reason I mention this is because I don't think this PhD fellow speaks for the the sales "engineers" at Amazon.com. The sales people will say what they have to say to make a sale.

Lets face it: we programmers just work at a company, the business actually runs the show. I have zero confidence that the customer will understand that "any positive match should be vetted by a human". What does vetting mean anyway?

No police has ever stopped me for matching the profile of a suspect, ever. However, I know people who say it happens (or at least used to happen) to them at least twice a year.

Is a blanket ban on law enforcement from using facial recognition possible? Or at least restrict it to federal agencies (a ban on all law enforcement that is not a federal agency)?

Re:Thoughts On Machine Learning Accuracy by noway421 on Sunday July 29, 2018 @03:33AM (#17636985)
That's actually a very good point, sales people will try to exaggerate the capabilities of the technology to the dangerous levels... Well said.