Race, gender bias in matching algorithm remain – DHS report

An annual U.S. Homeland Security study of bias in commercial biometric software, released in August, suggest similar results found in similar work done by the department since 2018.

AI has a harder time matching face images when the subject is female, darker in skin tone or wears glasses, according to the report.

In fact, 57 percent of models delivered lower mated similarity schools with darker skin tones. Eyewear confused algorithms on 96 percent of models.

However, image-acquisition products and matching …

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