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Home General App

FaceApp Withdraws Controversial Ethnicity Filters Amid Accusations of Racism

Uloma Mary Omolaiye by Uloma Mary Omolaiye
August 10, 2017
in App, Social Media
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In Brief
  • FaceApp, the popular artificial intelligence-powered app that alters users’ features to provide different looks, recently sparked controversy after introducing a problematic new feature.
  • This update, which was designed to morph users’ ethnicity, was swiftly removed less than 24 hours following its introduction due to widespread backlash.
  • FaceApp, renowned for its transformative capabilities to make users appear younger, older, or of the opposite gender, incorporated a series of ethnicity change filters in its...

FaceApp, the popular artificial intelligence-powered app that alters users’ features to provide different looks, recently sparked controversy after introducing a problematic new feature. This update, which was designed to morph users’ ethnicity, was swiftly removed less than 24 hours following its introduction due to widespread backlash.

FaceApp, renowned for its transformative capabilities to make users appear younger, older, or of the opposite gender, incorporated a series of ethnicity change filters in its latest update. These options included Black, Asian, Indian, and Caucasian filters aimed to bestow users with corresponding racial features.

Nevertheless, rather than being impressed by this novel innovation, several users perceived the update as a discriminatory act of racism. This allegation, coupled with an influx of negative feedback, prompted the app’s creators to pull the disputed feature less than a day after its initial incorporation.

Many users were unreserved in expressing their disapproval and dissatisfaction with the app’s new filter, accusing FaceApp of perpetuating racial stereotypes. One particular reviewer detailed their experience as follows:

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“I initially dismissed claims of the app’s purported racism as sensationalism—but on trying it for myself, I was taken aback. A white grin altered to appear Black suddenly had decayed teeth, whereas the same smile under a Caucasian filter exhibited pristine, straight teeth. This pattern was consistent across various images. Moreover, the transition of a ready-faced Black woman to Caucasian resulted in strikingly altered features. On the flip side, the same Black woman subjected to the Black filter was almost unrecognizable. Her hair appeared unnaturally frizzy, her nose enlarged, and her lips excessively full. In my experiment, the transformed white woman looked markedly older than the black woman, while the Asian woman suspiciously youthful. The most disheartening aspect was the app’s decision to depict Black and Indian filters with decayed, brown teeth.”

In response to the controversy, FaceApp CEO Yaroslav Goncharov defended the ethnicity filters. He stated, “They don’t have any positive or negative connotations associated with them. They are even represented by the same icon. Furthermore, the filters are shuffled for each individual photo, presenting them in a different order for each user.”

Despite Goncharov’s defense, one cannot ignore the implications of perpetuating stereotypes in such a manner. It is a stark reminder that discriminatory practices and prejudice, even when unintentional, are still very much present in the 21st century. Racially charged actions, intentional or not, appear outdated and offensive to many, emphasizing the necessity for thoughtful curation in technological developments.

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Uloma Mary Omolaiye

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