• psycotica0@lemmy.ca
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    12 days ago

    "Imagine appearing for a job interview and, without saying a single word, being told that you are not getting the role because your face didn’t fit. You would assume discrimination, and might even contemplate litigation. But what if bias was not the reason?

    Uh… guys…

    Discrimination: the act, practice, or an instance of unfairly treating a person or group differently from other people or groups on a class or categorical basis

    Prejudice: an adverse opinion or leaning formed without just grounds or before sufficient knowledge

    Bias: to give a settled and often prejudiced outlook to

    Judging someone’s ability without knowing them, based solely on their appearance, is, like, kinda the definition of bias, discrimination, and prejudice. I think their stupid angle is “it’s not unfair because what if this time it really worked though!” 😅

    I know this is the point, but there’s no way this could possibly end up with anything other than a lazily written, comically clichéd, Sci Fi future where there’s an underclass of like “class gammas” who have gamma face, and then the betas that blah blah. Whereas the alphas are the most perfect ughhhhh. It’s not even a huge leap; it’s fucking inevitable. That’s the outcome of this.

    I should watch Gattaca again…

    • Tattorack@lemmy.world
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      12 days ago

      Like every corporate entity, they’re trying to redefine what those words mean. See, it’s not “insufficient knowledge” if they’re using an AI powered facial recognition program to get an objective prediction, right? Right?

      • JackbyDev@programming.dev
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        10 days ago

        The most generous thing I can think is that facial structure is not a protected class in the US so they’re saying it’s technically okay to descriminate against.

    • morriscox@lemmy.world
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      12 days ago

      People see me in cargo pants, polo shirt, a smartphone in my shirt pocket, and sometimes tech stuff in my (cargo) pants pockets and they assume that I am good at computers. I have an IT background and have been on the Internet since March of 1993 so they are correct. I call it the tech support uniform. However, people could dress similarly to try to fool people.

      People will find ways, maybe makeup and prosthetics or AI modifications, to try to fool this system. Maybe they will learn to fake emotions. This system is a tool, not a solution.

    • WhyJiffie@sh.itjust.works
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      12 days ago

      I think their stupid angle is “it’s not unfair because what if this time it really worked though!”

      I think their angle is “its not unfair because the computer says it!”. automated bias. offloading liability to an AI.

  • panda_abyss@lemmy.ca
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    12 days ago

    Racial profiling keeps getting reinvented.

    Fuck that.

    They then used data on these individuals’ labour-market outcomes to see whether the Photo Big Five had any predictive power. The answer, they conclude, is yes: facial analysis has useful things to say about a person’s post-mba earnings and propensity to move jobs, among other things.

    Correlation vs causation. More attractive people will be defaulted to better negotiating positions. People with richer backgrounds will probably look healthier. People from high stress environments will show signs of stress through skin wrinkles and resting muscles.

    This is going to do nothing but enforce systemic biases, but in a kafkaesque Gattica way.

    And then of course you have the garden of forking paths.

    These models have zero restraint on their features, so we have an extremely large feature space, and we train the model to pick features predictive of the outcome. Even the process of training, evaluating, then selecting the best model at this scale ends up being essentially P hacking.

    • Jason2357@lemmy.ca
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      10 days ago

      I cant imagine a model being trained like this /not/ end up encoding a bunch of features that correlate with race. It will find the white people, then reward its self as the group does statistically better.

      • CheeseNoodle@lemmy.world
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        10 days ago

        Even a genuinely perfect model would immediately skew to bias; the moment some statistical fluke gets incorporated into the training data that becomes self re-enforcing and it’ll create and then re-enforce that bias in a feedback loop.

        • Jason2357@lemmy.ca
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          10 days ago

          Usually these models are trained on past data, and then applied going forward. So whatever bias was in the past data will be used as a predictive variable. There are plenty of facial feature characteristics that correlate with race, and when the model picks those because the past data is racially biased (because of over-policing, lack of opportunity, poverty, etc), they will be in the model. Guaranteed. These models absolutely do not care that correlation != causation. They are correlation machines.

    • ssladam@lemmy.world
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      10 days ago

      Exactly. It’s like saying that since every president has been over 6’ tall we should only allow tall people to run for president.

  • wilfim@sh.itjust.works
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    10 days ago

    This is so absurd it almost feels like it isn’t real. But indeed, the article appears when I look it up

  • verdi@feddit.org
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    12 days ago

    FYI, it’s not a paper, it’s a blog post from well connected and presumably highly educated people benefiting from the institutional prestige to see their poorly conducted study be propagated ad eternum without a modicum of relevant peer review.

    edit: After a few more minutes, it’s an unreliable psychopath detector.

  • skisnow@lemmy.ca
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    10 days ago

    But what if bias was not the reason? What if your face gave genuinely useful clues about your probable performance?

    I hate this so much, because spouting statistics is the number one go-to of idiot racists and other bigots trying to justify their prejudices. The whole fucking point is that judging someone’s value someone based on physical attributes outside their control, is fucking evil, and increasing the accuracy of your algorithm only makes it all the more insidious.

    The Economist has never been shy to post some questionable kneejerk shit in the past, but this is approaching a low even for them. Not only do they give the concept credibility, but they’re even going out of their way to dishonestly paint it as some sort of progressive boon for the poor.

    • mic_check_one_two@lemmy.dbzer0.com
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      10 days ago

      But what if bias was not the reason? What if your face gave genuinely useful clues about your probable performance we just agreed to redefine “bias” as something else, despite this fitting the definition of the word perfectly, just so I can claim this isn’t biased?

  • entwine@programming.dev
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    12 days ago

    This fascist wave is really bringing out all the cockroaches in our society. It’s a good thing you can’t erase anything on the internet, as this type of evidence will probably be useful in the future.

    You’d better get in on a crypto grift, Kelly Shue of the Yale School of Management. I suspect you’ll have a hard time finding work within the next 1-3 years.

    • 3abas@lemmy.world
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      12 days ago

      They absolutely can erase things on the internet, are you archiving this for when the other archives die? Are you gonna be able to share it when the time comes? And will anyone care?

      • valek879@sh.itjust.works
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        12 days ago

        I have some spare storage! What I want to do with it is either archive very important information, documents and/or scientific papers. I don’t mind of it’s the same shit others have, just want to be part of retaining information. I’m trans and last time fascists were in power we lost 100 years of progress towards being able to exist openly so I’m pretty eager to archive information.

        Either this or it’d be cool to be part of a decentralized database that is searchable and and readable.

        I could probably find somewhere between 1-10 TB to donate to the cause in perpetuity. But I don’t know how to do this myself, what to save, or if there are groups already doing this type of thing.

  • Tattorack@lemmy.world
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    12 days ago

    Woaw, we skipped right from diversity hiring to phrenology hiring without wasting a single beat. Boy has the modern world become efreceint.

  • buttnugget@lemmy.world
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    10 days ago

    Actually, what if slavery wasn’t such a bad idea after all? Lmao they never stop trying to resurrect class warfare and gatekeeping.

  • technocrit@lemmy.dbzer0.com
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    12 days ago

    It’s completely normal for fascists to promote pseudo-science. Always had been.

    Indeed their publication is named after one of the worst pseudo-sciences.

  • Boppel@feddit.org
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    12 days ago

    “okay, okay, hear me out: what if nazi methods, but for getting a job. we could even tattoo their number on their arms. it’s only consequent, we already devide by skin colour”

    WTF

  • Uriel238 [all pronouns]@lemmy.blahaj.zone
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    12 days ago

    I thought phrenology was still a science at the time of the German Reich, only made defunct later. Now I have my doubts.

    Social darwinism was disproven in the 1900s and supply-side economics died in the 19th century so it’s not like pseudoscience does not spring up like weeds when rich people want to sponsor it.

    • squaresinger@lemmy.world
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      12 days ago

      That’s the thing with science communication. It barely exists.

      There is a bogus theory. Nobody tries replicating it for decades because there’s no fame in replication. Then someone finally does and disproves the theory. If the author is lucky, it gets published on the last pages of some low-level journal, because there’s even less fame in failed replication. But the general public doesn’t read journals. They don’t even read science journalism. They might read a short note in a daily newspaper that was twisted into unrecognizability by an underpaid, overworked journalist who didn’t understand a word in the article they read in some pop science magazine.

      Science doesn’t reach the general public, and if it does against all odds, it’s so twisted and corrupted that it frequently says the opposite of what the original paper said.

      People do their general education in school, and once they leave they stop learning general topics.