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AI hiring tools may be filtering out the best job applicants (www.bbc.com)

submitted 11 months ago* (last edited 11 months ago) by [email protected] to c/technology

94 comments fedilink hide all child comments

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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[–] BluesF 5 points 11 months ago* (last edited 11 months ago)

The bias is really introduced at the design stage. Designers should be aware of demographic differences and incorporate that into the model to produce something more balanced. It's far from impossible to design models that do not become biased in this way, even from biased data - although, that is no to say it's easy.