AI Bias: When Algorithms Go Bad

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Earlier this month researchers from the Massachusetts Institute of Technology and Stanford University reported that they had found that three commercial facial-analysis programs from major tech companies showed bias in both skin-type and gender. The error rates for determining the gender of light-skinned men were 0.8% compared with much higher error rates for darker-skinned women, which in some cases was as much as 20% and 34%.

This is not the first time an algorithm powering an AI application has delivered an erroneous — to say nothing of embarrassing — result. In 2015, Flickr, a photo-sharing site owned by Yahoo…

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