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Twitter’s Photo Crop Algorithm Leads White Faces and Women Last fall, Canadian Student Colin Madland noticed this Twitterthe automatic cutting algorithm constantly selected her face not a dark-skinned colleague to display in tweets from the couple’s photos. The the section sparked accusations according to the bias, they posted long photos as a wave of Twitter users to see if the AI would choose the face of a white person in front of a black person or put women’s boxes on their faces. At the time, a Twitter spokesperson said the assessment algorithm It was discovered before it was launched in 2018 no evidence of racial or gender bias. Now, he has done the biggest analysis of AI so far has found the opposite: Twitter’s algorithm favors whites over blacks. According to this assessment, the most interesting part of the picture is that AI does not focus on women’s bodies. ....
To revist this article, visit My Profile, then View saved stories. Last fall, Canadian student Colin Madland noticed that Twitter’s automatic cropping algorithm continually selected his face not his darker-skinned colleague’s from photos of the pair to display in tweets. The episode ignited accusations of bias as a flurry of Twitter users published elongated photos to see whether the AI would choose the face of a white person over a Black person or if it focused on women’s chests over their faces. At the time, a Twitter spokesperson said assessments of the algorithm before it went live in 2018 found no evidence of race or gender bias. Now, the largest analysis of the AI to date has found the opposite: that Twitter’s algorithm favors white people over Black people. That assessment also found that the AI for predicting the most interesting part of a photo does not focus on women’s bodies over women’s faces. ....