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So they admit, that there’s a huge bias against women, black people, …

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  • At least where I'm from, it's pretty well know that the education system is better suited to girls than boys, probably because it needs a reform

    I didn't say it doesn't, clearly there's a problem when half the population is systematically favoured.

    To paraphrase: women can get pregnant and can't work and it's the man's fault

    Where the fuck did I say that it's the man's fault? It's a societal problem, doesn't mean it's anybody's fault. At least not an entire gender in general. Capitalism as a system, yeah, probably.

    What I observe in society are a huge increase in the amount of advertising aimed at women with a feminist message because women are being programmed to flock to such messages

    I'm the first to criticize corporate feminism (just like greenwashing and pride washing), but I suspect feminist messaging appeals to women because they are sick of the patriarchy, not because they are programmed by marketing agencies. The fuck are you on about.

    That said, I think you're right that the messaging of companies trying to appear feminist in their communications while nevertheless usually being run almost exclusively by men is a huge part of the source material that produces the bias here. I'm not sure we disagree much in substance, but I suspect we come from different starting points in how we see gender dynamics in society.

    So now you're backtracking and disagreeing that it isn't because girl's brains develop faster, but because the education system is actually better for girls than boys? Oh, right, so why didn't you write that in the first place.

    I suspect feminist messaging appeals to women because they are sick of the patriarchy, not because they are programmed by marketing agencies. The fuck are you on about.

    Lol. Aren't you a good feminist. Throwing tired phrases around like "they are sick of the patriarchy", yawn. You're the sexist version of anti-vaxxers.

    I think you’re right that the messaging of companies trying to appear feminist in their communications while nevertheless usually being run almost exclusively by men is a huge part of the source material that produces the bias here.

    Lol, that isn't what I wrote - again, it's what your distorted view of the world understands. Of course, women work in such companies and also approve such messages to meet sales. Shock. But yawn, again, from your pov, it's the men's fault because that opinion justifies your hatred of men - it's them, not me.

    That said, I think you’re right that the messaging of companies trying to appear feminist in their communications while nevertheless usually being run almost exclusively by men is a huge part of the source material that produces the bias here. I’m not sure we disagree much in substance, but I suspect we come from different starting points in how we see gender dynamics in society.

  • Right. If it's true that women statistically outperform men (with same application documents), it'd be logical to prefer them just on gender alone. Because they likely turn out to be better.

    Thanks for the voice of reason in this sea of hate.

    From my pov it would be best to have completely anonymised applications and no involvement of AI in the hiring process.

  • So now you're backtracking and disagreeing that it isn't because girl's brains develop faster, but because the education system is actually better for girls than boys? Oh, right, so why didn't you write that in the first place.

    I suspect feminist messaging appeals to women because they are sick of the patriarchy, not because they are programmed by marketing agencies. The fuck are you on about.

    Lol. Aren't you a good feminist. Throwing tired phrases around like "they are sick of the patriarchy", yawn. You're the sexist version of anti-vaxxers.

    I think you’re right that the messaging of companies trying to appear feminist in their communications while nevertheless usually being run almost exclusively by men is a huge part of the source material that produces the bias here.

    Lol, that isn't what I wrote - again, it's what your distorted view of the world understands. Of course, women work in such companies and also approve such messages to meet sales. Shock. But yawn, again, from your pov, it's the men's fault because that opinion justifies your hatred of men - it's them, not me.

    That said, I think you’re right that the messaging of companies trying to appear feminist in their communications while nevertheless usually being run almost exclusively by men is a huge part of the source material that produces the bias here. I’m not sure we disagree much in substance, but I suspect we come from different starting points in how we see gender dynamics in society.

    It's not men against women, it's people against billionaires.

    It's not the fact that these people are men that I take issue with, it's that they are hypocrites capitalising feminist sentiments without making any actual effort towards real change.

    Edit: Since I wrote my response the comment I responded to was changed into something even dumber. I'll let it speak for itself.

  • Thanks for the voice of reason in this sea of hate.

    From my pov it would be best to have completely anonymised applications and no involvement of AI in the hiring process.

    You're welcome. I mean it's kind of a factual question. Is gender an indicator on its own? If yes, then the rest is just how statistics and probability work... And that's not really a controversy. Maths in itself works 🥹

    I'd also welcome if we were to cut down on unrelated stuff, stereotypes and biases. Just pick what you like to optimize for and then do that. At least if you believe in the free market in that way. Of course it also has an impact on society, people etc and all of that is just complex. And then women and men aren't really different, but at the same time they are. And statistics is more or less a tool. Highly depends on what you do with it and how you apply it. It's like that with most tools. (And LLMs in the current form are kind of a shit tool for this if you ask me.)

  • Thanks for the voice of reason in this sea of hate.

    From my pov it would be best to have completely anonymised applications and no involvement of AI in the hiring process.

    For most jobs it's hard to do a hiring process without in-person interviews, or at the very least video calls. So I'm not really sure how one could realistically get rid of biases. But I completely agree that whenever there are too many applications to interview everyone individually, the initial screening of applicants should be completely anonymized and rely only only technologies where biases can at least be understood.

    For the final step I'm afraid we'll have to try to train people to be less prone to biased decision-making. Which I agree is not a very promising path.

  • You're welcome. I mean it's kind of a factual question. Is gender an indicator on its own? If yes, then the rest is just how statistics and probability work... And that's not really a controversy. Maths in itself works 🥹

    I'd also welcome if we were to cut down on unrelated stuff, stereotypes and biases. Just pick what you like to optimize for and then do that. At least if you believe in the free market in that way. Of course it also has an impact on society, people etc and all of that is just complex. And then women and men aren't really different, but at the same time they are. And statistics is more or less a tool. Highly depends on what you do with it and how you apply it. It's like that with most tools. (And LLMs in the current form are kind of a shit tool for this if you ask me.)

    Is gender an indicator on its own?

    I’m not sure if you mean the social construct or the sex assigned at birth. Probably the latter as you mentioned “on its own”.

    I have a lot of issues with the social construct as it’s basically a nicer word for “stereotype”. It looks like men and women alike suffer because of these stereotypes. The social constructs, the stereotypes, are the basis for bias. To me it seems like gender never is “on its own”. It’s the way we perceive the biological sex and compare it to our expectations.

    Sex on the other hand is no indicator on its own, I think.

    And I agree statistics is always a problem, that’s why LLMs are problematic in a lot of ways.

  • So they admit, that there’s a huge bias against women, black people, …

    And then they claim it must be a bias against men. Maybe it’s not a bias, maybe it’s the interpretation of studies which found out that there are certain areas where women are better in their jobs than men, and the AI considered those studies despite the bias against women.

    Leadership & Management

    Study: Harvard Business Review (2019)
    Finding: Women scored higher than men in 12 out of 16 leadership competencies.

    Medicine

    Study 1: JAMA Internal Medicine (2017)
    Finding: Patients treated by female doctors had lower mortality rates.

    Stdy 2: Annals of Internal Medicine (2024, UCLA)
    Funding: Female patients treated by female doctors had 8.15% mortality vs 8.38% with male doctors (2016–2019 data)

    Sales Performance

    Source: Xactly Insights (2017)
    Finding: 86% of women met their sales quotas, vs. 78% of men.

    https://www.forbes.com/sites/forbescoachescouncil/2017/03/21/women-in-sales-beating-the-numbers/

    Education / Teaching

    Source: OECD TALIS Survey
    Finding: Female teachers report better classroom climate and higher student engagement.

    Edit: I can see quite a lot of offended men 🙂

    the problematic part of this is that you’ve stripped all context to support your, admittedly bigoted, rhetoric and ethos.

    black people, generally, have worse education outcomes than whites in american education. you’d still be an incredibly shitty and terrible person if you advocated hiring white people over black people by rote rule. you can find plenty of “studies” that formalize that argument just as you have here, though. essentialist can just say whatever they want, you guys aren’t bounded by rational thought and critical thinking like the rest of us. no, arguing considering context would be too hard. you’d rather just sort people into nice little easy bins, wouldn’t you?

    no, i think most rational people understand that in a scenario like this all people have, on average, the same basic cognitive faculties and potential, and would then proceed to advocate for improving the educational conditions for groups that are falling behind not due to their own nature, but due to the system they are in.

    but idk, i’m not a bigot so maybe my brain just implicitly rejects the idea “X people are worse/less intelligent/etc than Y people”

    fucking think about what you’re saying. there is no “right people” to hate other than the rich and powerful. it isn’t a subversion of the feminist message to admit this. in fact, it makes you a better feminist. real feminist aren’t sexist.

    can you imagine if you said this in a racial context and then you made an edit like “edit: can see i offended a lot of darkies with this :)”… are you dense? can you not see how you are engaging in the same kind of thought that oppressed you and likely spurred you towards feminism in the first place? except you don’t understand that what you do is patently unfeminist and makes the world a worse place. i can honestly say i fucking despise bigots, including people just like you.

  • Handpicks poor 'studies' to justify personal belief that women are better.

    Handpicked poor study... That's what this whole OP is about.

  • Handpicked poor study... That's what this whole OP is about.

    Allow me to do what feminists do - including in this very thread:

    "Women can't take it"

  • Is gender an indicator on its own?

    I’m not sure if you mean the social construct or the sex assigned at birth. Probably the latter as you mentioned “on its own”.

    I have a lot of issues with the social construct as it’s basically a nicer word for “stereotype”. It looks like men and women alike suffer because of these stereotypes. The social constructs, the stereotypes, are the basis for bias. To me it seems like gender never is “on its own”. It’s the way we perceive the biological sex and compare it to our expectations.

    Sex on the other hand is no indicator on its own, I think.

    And I agree statistics is always a problem, that’s why LLMs are problematic in a lot of ways.

    I meant both sex and gender. They regularly fail to tell me a lot for my own real life. I like some people and dislike others and it's easier for me to talk to / work with / collaborate or empathize depending on various circumstances. Personality traits, shared goals... Maybe sharing something or it's the opposite of that. I believe gender or sex or identity is a bit overrated and so is stereotyped thinking for a lot of applications. Or the need to conform to a stereotype. Dress and identify however you like, make sure to give your children an electronics kit, a plastic excavator and a princess dress... And unless that's really important for some niche application, don't feel the urge to look into people's pants and check what's in there.