https://phys.org/news/2018-06-biased-facial-recognition-microsoft-touts.html

Earlier this year, the New York Times reported on a study by Joy Buolamwini, a researcher at the MIT Media Lab, on artificial intelligence, algorithms and bias: She found that facial recognition is most accurate for white men, and least accurate for darker-skinned people, especially women.

Now—as facial recognition is being considered for use or is being used by police, airports, immigration officials and others—Microsoft says it has improved its facial-recognition technology to the point where it has reduced error rates for darker-skinned men and women by up to 20 times. For women alone, the company says it has reduced error rates by nine times.