FaceApp: Selfie app accused of racism for whitening users’ skin

'We are deeply sorry for this unquestionably serious issue'

Aatif Sulleyman
Tuesday 25 April 2017 13:02 BST
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Filters from Meitu and Snapchat have also caused controversy over recent months
Filters from Meitu and Snapchat have also caused controversy over recent months (Twitter/@tweeterrance)

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The founder of FaceApp has apologised after complaints from users about the app’s ‘Hot’ filter lightening their skin.

The free app uses artificial intelligence to dramatically alter selfies, in a similar manner to Prisma and Meitu.

It’s currently trending in the Google Play store and Apple App Store, having become a viral hit for the wrong reasons.

Users this week pointed out that FaceApp's ‘Hot’ filter was whitening their skin tone and making them look more "European".

The filter has now been renamed ‘Spark’, and FaceApp’s founder and CEO, Yaroslav Goncharov, has responded to the widespread criticism with an apology.

“We are deeply sorry for this unquestionably serious issue,” he told The Independent. “It is an unfortunate side-effect of the underlying neural network caused by the training set bias, not intended behaviour.

“To mitigate the issue, we have renamed the effect to exclude any positive connotation associated with it. We are also working on the complete fix that should arrive soon.”

Mr Goncharov's statement suggests the app wasn't deliberately designed to lighten users' faces, but that its artificial intelligence isn't up to scratch because its training predominantly used light-skinned faces.

This isn’t the first time a technology company has been embroiled in a race storm over filters.

Meitu, which was found to be collecting huge amounts of users’ personal data earlier this year, was also criticised for whitening users’ skin.

Snapchat too caused outrage last year with its “blackface” Bob Marley filter and “yellowface” filter.

A recent report found that AI is being taught to be racist and sexist by learning from humans.

“If machine-learning technologies used for, say, résumé screening were to imbibe cultural stereotypes, it may result in prejudiced outcomes,” wrote the researchers.

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