This trending face app has a race problem:
The latest selfie-based app that has swept the internet is showing how AI can be overtly racist if trained using bad data. ImageNet Roulette asks users to upload a photo of their face and, in turn, it provides a definition of what is supposedly in the picture based on interpretation by AI. For some, it feels like harmless fun, giving hilariously strange and rude answers. For others—specifically, people of color—it's often churning out slurs and racist descriptions.
But, when the app went viral, it wasn't with this context—though each individual could have read the fine print description; everyone just wanted to get in on the fun of being read by their selfies. Some of the reads were admittedly brutally funny—for me, using old selfies produced the labels"an unmarried girl ." But other tags, as became apparent on Twitter, were outright offensive. For example, Julia Carrie Wong, a reporter for The Guardian, was assigned racial slurs.
BuzzFeed News notes that this sort of bad training data in AI has real-world implications."WordNet is used in machine translation and crossword puzzle apps. And ImageNet is currently being used by at least one academic research project," per BuzzFeed.
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