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In a blog post, Dr Matt Wood, general manager of artificial intelligence at AWS, highlighted several concerns about the study, including that it did not use the latest version of Rekognition. I appreciate you spending some time and effort to put this article together. I have a mission that I’m simply now running on, and I’ve been on the look out for such info. I really like it whenever people come together and share thoughts.

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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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