AI generated images are biased, showing the world through stereotypes

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AI generated images are biased, showing the world through stereotypes
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See how AI image generators like Stable Diffusion and DALL-E amplify American bias in gender, race and beyond.

Artificial intelligence image tools have a tendency to spin up disturbing clichés: Asian women are hypersexual. Africans are primitive. Europeans are worldly. Leaders are men. Prisoners are Black.

Christoph Schuhmann, co-founder of LAION, a nonprofit behind Stable Diffusion’s data, argues that image generators naturally As synthetic images spread across the web, they could give new life to outdated and offensive stereotypes, encoding abandoned ideals around body type, gender and race into the future of image-making.Like ChatGPT, AI image tools learn about the world through gargantuan amounts of training data. Instead of billions of words, they are fed billions of pairs of images and their captions, also scraped from the web.

Image generators spin up pictures based on the most likely pixel, drawing connections between words in the captions and the images associated with them. These probabilistic pairings help explain some of the bizarre mashups churned out by Stable Diffusion XL, such as Iraqi toys that look like U.S. tankers and troops. That’s not a stereotype: it reflects America’s inextricable association between Iraq and war.

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