Credit: Data Mining and Knowledge Discovery (2023). DOI: 10.1007/s10618-022-00910-8
Even after algorithms are adjusted for overt hiring discrimination, they may show a subtler kind: preferring workers who mirror dominant groups, according to a new study from researchers at The University of Texas at Austin.
For example, when recruiting in a field that has more men, algorithms may favor people who more closely resemble masculine stereotypes. This tendency, or “social norm bias,” compounds existing patterns in the workplace.
There may be a better approach for employers looking for technological fixes to combat algorithm bias—the tendency for hiring and …
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