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.
- Company
- Amazon
- AI system
- Amazon Rekognition