Study finds Amazon Rekognition has higher error rates for darker-skinned women
A study by Raji and Buolamwini found that Amazon's Rekognition facial analysis tool had a 31% error rate for classifying the gender of darker-skinned women, compared to 0% for lighter-skinned men. Amazon officials Matthew Wood and Michael Punke wrote blog posts disputing the findings, calling them misleading. The researchers called on Amazon to stop selling Rekognition to law enforcement.
- Date it happened
- 2018-08-01
- Organisation involved
- Amazon
- Product, system or model
- Amazon Rekognition
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