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Hidden inside the foundation of popular artificial intelligence image-generators are thousands of images of child sexual abuse, according to a new report that urges companies to take action to address

The model is a massive part of the AI-ecosystem, used by Google and Stable Diffusion. The removal follows discoveries made by Stanford researchers, who found thousands instances of suspected child sexual abuse material in the dataset.

Hidden inside the foundation of popular artificial intelligence image-generators are thousands of images of child sexual abuse, according to a new report that urges companies to take action to address a harmful flaw in the technology they built

A massive public dataset used to build popular artificial intelligence image generators contains at least 1,008 instances of child sexual abuse material, a new report from the Stanford Internet Observatory found.

Google has been training its AI image generator on child sexual abuse material. As 404 Media reports, AI non-profit LAION has taken down its 5B machine learning dataset out of "an abundance of caution" after a recent Stanford study found that it contained 1,008 instances of externally validated child sexual abuse material. There were […]

Stanford Internet Observatory found over 3,200 images of suspected child sexual abuse in a database used to train leading AI image-makers

We tested Intels new AI-friendly chips on real-world inference workloads such as music and image generation. The results may surprise you.

LAION-5B, a dataset used by Stable Diffusion and Google’s Imagen, contained thousands of links to child sexual abuse material that could influence AI-image generation.

Hidden inside the foundation of popular artificial intelligence image-generators are thousands of images of child sexual abuse, according to a new report that urges companies to take action to address

Hidden inside the foundation of popular artificial intelligence image-generators are thousands of images of child sexual abuse, according to a new report that urges companies to take action to address a harmful flaw in the technology they built.