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> A federally-funded study found that even the best facial recognition algorithms fail to work on Black and brown people, trans and non-binary people, as well a
by dna_polymerase 5y ago
> A federally-funded study found that even the best facial recognition algorithms fail to work on Black and brown people, trans and non-binary people, as well as children and women in general.
I assume it is black and brown trans and non-binary people. I don't see an algorithm fail because someone identifies as anything. However, why even mention it here, in this context? It makes the people behind this sound ridiculous.
Aside from the technical difficulties with image recognition on BPoC which make this sort of tech a non-starter, I think universities and schools need to (finally) find a way to assess people that does not involve anything that can be cheated by having a book open next do the computer. Projects and papers and weekly problem sets to solve are a way better way to assess people.
- MattGaiser 5y agoIt isn't so much a book that is a problem. It is divide and conquer by groups of students.
- spoonjim 5y agoEveryone wants a tie-in to the hot button issue of the day. You don’t need to get black trans kids involved to point out all of the flaws in Eproctoring.
- wizzwizz4 5y agoTo point out enough flaws to disqualify e-proctoring, no. To point out all of them, yes.
- fcatalan 5y agoIn our initial trials involving about 5 people the software systematically failed to recognise one woman just because her (pretty standard) hairstyle. It also failed to detect my kids coming up on camera a few times.
- dna_polymerase 5y agoSounds like these solutions are just outright garbage. I wonder if ML/CV will ever work outside of GAFAM.
- jarcane 5y agoRecognition algorithms often make assumptions about the way people "should" be shaped according to their recorded gender or the way the machine attempts to "guess" said gender, and a clash in expectations gets flagged and generates false negatives because things aren't in the "right" places it thinks they should be. For a really simple example if this problem, the TSA body scanner machines flag on trans people constantly. It detects as an "unknown mass" if gendered body parts (ie. breasts/genitals) don't match its binary expectations for what gender is marked on their passport. Often they get it coming and going: a trans femme still marked M will get flagged for having breasts, but if they've changed it to F, they get flagged for their genitals instead. Now you get a full grope patdown from a suspicious TSA officer, because a machine was coded to make binary assumptions about bodies.
- goatxi 5y agoIt just means that the body scanner is programmed to recognize biological realities (that transwomen are men presenting as women, and transmen are women presenting as men), rather than questionable self-beliefs.
- donkarma 5y agoSo we put sex on passports? What is the issue?
- wizzwizz4 5y ago> Often they get it coming and going: a trans femme still marked M will get flagged for having breasts, but if they've changed it to F, they get flagged for their genitals instead. An F sex marker isn't going to stop this happening.
- goatxi 5y agoOne problem is that in some countries (such as the UK), you can legally change your birth certificate to have it record your supposed 'gender identity' in the sex field instead. Your actual sex is erased.
- AussieWog93 5y ago
- goatxi 5y agoReminds me of that AI model for sex classification that would - quite accurately - recognize trans people as their birth sex rather than their 'gender identity'. People were complaining that it was transphobic or whatever, but it was just saying what it saw. Like what most of us see, even if we politely acquiesce to the fantasy.