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Study Finds LLMs Biased Against Men in Hiring
(www.piratewires.com)
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this post was submitted on 06 Jul 2025
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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.
https://hbr.org/2019/06/research-women-score-higher-than-men-in-most-leadership-skills
Medicine
Study 1: JAMA Internal Medicine (2017) Finding: Patients treated by female doctors had lower mortality rates.
https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2593255
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)
https://www.uclahealth.org/news/release/treatment-female-doctors-leads-lower-mortality-and-hospital
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.
https://www.oecd.org/en/about/programmes/talis.html
Edit: I can see quite a lot of offended men :)
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.
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.