ニューヨーク・タイムズのインスタグラム(nytimes) - 1月29日 06時41分

Over the last 2 years, @Amazon has aggressively marketed its facial recognition technology to police departments and federal agencies as a service to help law enforcement identify suspects more quickly. @Microsoft has called on the U.S. Congress to regulate the technology, arguing that it’s too risky for companies to oversee on their own. ⁣
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Now, a new study from researchers at the @mitmedialab have found that #Amazon’s system, Rekognition, had much more difficulty in telling the gender of female faces and of darker-skinned faces in photos than similar services from @ibm and Microsoft. The results raise questions about potential bias that could hamper Amazon’s drive to popularize the technology. ⁣
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In response, Matt Wood, general manager of artificial intelligence at @amazonwebservices, said the researchers had examined facial analysis — a technology that can spot features such as mustaches or expressions such as smiles — and not facial recognition, a technology that can match faces in photos or video stills to identify individuals. “It’s not possible to draw a conclusion on the accuracy of facial recognition for any use case — including law enforcement — based on results obtained using facial analysis,” Dr. Wood said in a statement. @jaimehogge shot this photo of Deborah Raji, a college student, who helped Joy Buolamwini of the M.I.T. Media Lab test facial technologies. Visit the link in our profile to read more.

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