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AI tools show biases in ranking job applicants’ names according to perceived race and gender. (www.washington.edu)

submitted 4 weeks ago* (last edited 4 weeks ago) by [email protected] to c/fuck_ai

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Research paper.

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[–] [email protected] 10 points 3 weeks ago

Quote from abstract:

We find that the MTEs are biased, significantly favoring White-associated names in 85.1% of cases and female-associated names in only 11.1% of cases, with a minority of cases showing no statistically significant differences. Further analyses show that Black males are disadvantaged in up to 100% of cases, replicating real-world patterns of bias in employment settings, and validate three hypotheses of intersectionality. We also find an impact of document length as well as the corpus frequency of names in the selection of resumes.

Pretty damning... And not surprising.