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He said the findings from MIT did not reflect Amazon’s own research, which had used 12,000 images of men and women of six different ethnicities. Clients of Rekognition include a company that provides tools for US law enforcement, a genealogy service and a Japanese newspaper, according to the Amazon Web Services website. By contrast Amazon, Microsoft and Kairos all successfully identified images of light-skinned men 100% of the time. The study found that Amazon had an error rate of 31% when identifying the gender of images of women with dark skin. If you disable this cookie, we will not be able to save your preferences.
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