'Amazon's controversial facial recognition software, Rekognition, is facing renewed criticism.
A new study from the MIT Media Lab found that Rekognition may have gender and racial biases.
In particular, the software performed worse when identifying gender for females and darker-skinned females.
When the software was presented with a number of female faces, it incorrectly labeled 19 percent of them as male.
But the outcome was much worse for darker-skinned women.
Of the dark-skinned women it was presented, Rekognition incorrectly labeled 31 percent of them as men.
By comparison, Rekognition made no errors in its attempts to identify pale-skinned men.
MIT found that similar software developed by IBM and Microsoft performed better than Rekognition.
Specifically, Microsoft incorrectly labeled 1.5 percent of darker-skinned women as men.
MIT researcher Joy Buolamwini conducted a similar study last February that found facial analysis software created by IBM, Microsoft and Chinese firm Megvii struggled with racial and gender biases.
The study generated major backlash for the companies, with Microsoft and IBM pledging to retool their software so that it would be more accurate.
Amazon, meanwhile, hasn't made any changes following the report.
In a statement to the Verge, the company said the researchers weren't using the latest version of Rekognition.
'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,' Matt Wood, general manager of deep learning and AI at Amazon Web Services, said in a statement.'
Read more: Amazon's controversial facial recognition software can't tell the difference between men and women or recognize dark-skinned females, MIT study finds
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