After 9 months, the New Orleans Police Department’s use of facial recognition has resulted in zero arrests and multiple false positives
After 9 months, the New Orleans Police Department’s use of facial recognition has resulted in zero arrests and multiple false positives
Facial recognition technology was used by the New Orleans Police Department only 13 times from Oct. 1, 2022, to July 1, 2023.
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I'm going to take a wild stab in the dark that all the false positives were black men.
For the same reason that my Echo dot (aka Spotify Bitch) will ignore my wife but cheerfully respond to my mumbled requests from three rooms away. If you make all this shit in Silicon Valley, it will work best for people of a similar demographic to those that work there.
The white liberals building this technology say they're all progressive yet only surround themselves with people like them and only build products for people like them. A lack of diversity in tech like this is a lack of good testing.
Oh they are progressive. They'll support Black Lives Matter and sympathise with Iranian women.
But there's only so much anybody can do when it's the entire US (and further afield) social structure at fault. It's the same where I am. I work on a project with 3 other white guys. If I put a job advert up for another programmer, who will apply? 3-4 more white guys.
I agree that it's a lack of good testing. Especially when you consider that it'll be mostly used to pick black guys out of a database. And especially so in New Orleans.
Pretty much any tech company that is large enough to have 5 or 6 people on a team should be looking toward paid internships. It is a way to get labor for dirt cheap, help students get their five years of work experience for an entry level position, and do extended interviews for new hires.
And the key with that is to not just advertise at your alma mater. Go out of your way to advertise to women in engineering groups and black friendly mailing lists and so forth. It gives you a MUCH better applicant pool and, if you are genuinely hiring/selecting "the best of the best", you naturally become more diverse (because people are people).
Which has knock on effects back at the universities because professors are very much selecting grad students based on how likely they are to get a summer internship (and thus cost much less per year). If they know that only their white male students will be able to get an internship? They get more white males. If they suddenly realize ethnicity and gender don't matter? They too begin selecting the best of the best which, again, naturally gets diversity closer to the national averages rather than the "STEM average".
They're more libertarian than liberal. Anti worker rights, anti consumer rights, and anti taxation.
The only government spending they're in favour of is government spending and subsidies on tech e.g. Tesla, space X, and the entire military complex.
You haven't read much about Libertarian policy I see. They are very pro-rights, in fact that is the core of the party platform. Individual liberty is their chief concern, and I applaud their efforts in fighting for our rights and freedom.
Also AI is taught by its creator. Tech has some of it’s most well hidden, bigotted, mid-level white people refusing to critically question their own bias and privilege. There’s a shit tone of that fragile masculinity in the tech industry just hard coding it into it.
There was a guy fired from google for writing a manifesto about how women aren’t ‘wired’ for tech. And that’s just the one that waved his crazy flag out in the open so no one in upper management could easily keep on ignoring it.
While I agree with you 100% that programming can be affected by the programmers biases, there's a much simpler problem that face recognition was having a hard time overcoming. At least when it was a main topic about a decade ago, sensors were having a lot of problems with the low contrast of some black people's faces. Anyone who's had a black friend and was a shutter bug will know what kind of problems you can run into when trying to get a proper exposure and not make a black person disappear completely from a photograph. It was just an inherent limitation of the technology they were using. The last statistics I read was something like between 20 to 30% positive matches, which we know damn well is too low for it to be a workable technology. The success rate on Caucasian and lighter skin tones weren't even that great. There was still something like a 60% false positive match rate. The software may have gotten better over the past decade but we all know that whether it did or not, they're still going to use it.
This isn’t image manipulation of the 1990s. You assume it’s set on isolated pixels with massive contrast. It’s calculated by neighbor to achieve the pattern.
This is just a result of inconsideration driving laziness that they’d crop to a median level of the graphic to cater to the skin with less reflection and reads light easier and then releasing it as ‘done’. Software is much more sophisticated than you’re giving credit. But It’s only being used to that potential in such industry as film.
I imagine anyone with more than a mild accent doesn't even bother using Alexa or whatever except in their native language.