The article discusses the experience of a black man who tried to renew his passport online had his image flagged by an automated photo checker because it mistook his closed lips for an open mouth. “When I saw it, I was a bit annoyed but it didn’t surprise me because it’s a problem that I have faced on Snapchat with the filters, where it hasn’t quite recognised my mouth, obviously because of my complexion and just the way my features are,” he said.
The article goes on to discuss similar experiences shared online. One (black) woman became frustrated after the system told her it looked like her eyes were closed and that it could not find the outline of her head. “The first time I tried uploading it and it didn’t accept it. So perhaps the background wasn’t right. I opened my eyes wider, I closed my mouth more, I pushed my hair back and did various things, changed clothes as well – I tried an alternative camera.” She added that she was irritated about having to pay extra for a photo booth image when free smartphone photos worked for other people.
Noel Sharkey, a professor of artificial intelligence and robotics at the University of Sheffield said it was known that automated systems had "problems with gender as well [as race],” He said: “[Automatic systems] have a real problem with women too generally, and if you’re a black woman you’re screwed, it’s really bad, it’s not fit for purpose and I think it’s time that people started recognising that. People have been struggling for a solution for this in all sorts of algorithmic bias, not just face recognition, but algorithmic bias in decisions for mortgages, loans, and everything else and it’s still happening.”
The article discusses the experience of a black man who tried to renew his passport online had his image flagged by an automated photo checker because it mistook his closed lips for an open mouth. “When I saw it, I was a bit annoyed but it didn’t surprise me because it’s a problem that I have faced on Snapchat with the filters, where it hasn’t quite recognised my mouth, obviously because of my complexion and just the way my features are,” he said.
The article goes on to discuss similar experiences shared online. One (black) woman became frustrated after the system told her it looked like her eyes were closed and that it could not find the outline of her head. “The first time I tried uploading it and it didn’t accept it. So perhaps the background wasn’t right. I opened my eyes wider, I closed my mouth more, I pushed my hair back and did various things, changed clothes as well – I tried an alternative camera.” She added that she was irritated about having to pay extra for a photo booth image when free smartphone photos worked for other people.
Noel Sharkey, a professor of artificial intelligence and robotics at the University of Sheffield said it was known that automated systems had "problems with gender as well [as race],” He said: “[Automatic systems] have a real problem with women too generally, and if you’re a black woman you’re screwed, it’s really bad, it’s not fit for purpose and I think it’s time that people started recognising that. People have been struggling for a solution for this in all sorts of algorithmic bias, not just face recognition, but algorithmic bias in decisions for mortgages, loans, and everything else and it’s still happening.”
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