this post was submitted on 19 Feb 2024
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an AI resume screener had been trained on CVs of employees already at the firm, giving people extra marks if they listed "baseball" or "basketball" – hobbies that were linked to more successful staff, often men. Those who mentioned "softball" – typically women – were downgraded.

Marginalised groups often "fall through the cracks, because they have different hobbies, they went to different schools"

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[–] Rentlar@lemmy.ca 81 points 10 months ago (27 children)

Of course AI does has bias with casual racism and sexism. It's been trained on a whole workforce that's gone through the same.

I've gotten calls for jobs I'm way underqualified for with some sneaky tricks, which I'll hint involves providing a resume that looks normal to human eyes, but when reduced to plaintext essentially regurgitates the job posting in full for a machine to read. Of course I don't make it past 1 or 2 interviews in such cases but just a tip for my fellow Lemmings going through the bullshit process.

[–] spujb@lemmy.cafe 13 points 10 months ago* (last edited 10 months ago) (6 children)

fucking bonkers that institutionalized racism can exist to such a degree that it shows up IN OUR COMPUTERS.

we’re so racist we made the computers discriminatory too.

[–] themurphy@lemmy.world 12 points 10 months ago (5 children)

I don't think you know how LLM's are trained then. It can become racist by mistake.

An example is, that there's 100.000 white people and 50.000 black people in a society. The statistic shows that there has been hired 50% more white people than black. What does this tell you?

Obvious! There's also 50% more white people to begin with, so black and white people are hired at the same rate! But what does the AI see?

It sees 50% increase in hiring white people. And then it can lean towards doing the same.

You see how this was / is in no way racist, but it ends up as it, as a consequence of something completely different.

TLDR People are still racist though, but it's not always why the AI is.

[–] Nollij@sopuli.xyz 2 points 10 months ago (1 children)

I suppose it depends on how you define by mistake. Your example is an odd bit of narrowing the dataset, which I would certainly describe as an unintended error in the design. But the original is more pertinent- it wasn't intended to be sexist (etc). But since it was designed to mimic us, it also copied our bad decisions.

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