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Child safety org launches AI model trained on real child sex abuse images (arstechnica.com)

submitted 2 days ago by Xatolos@reddthat.com to c/technology@lemmy.world

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Today, a prominent child safety organization, Thorn, in partnership with a leading cloud-based AI solutions provider, Hive, announced the release of an AI model designed to flag unknown CSAM at upload. It's the earliest AI technology striving to expose unreported CSAM at scale.

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[–] xionzui@sh.itjust.works 10 points 2 days ago (1 children)

Uh, well this one tells you if an image looks like it or not. It doesn’t generate images

[–] horse_tranquilizers@sh.itjust.works -1 points 2 days ago (1 children)

If it knows if an image looks like it it can generate something like it, one step further

[–] melroy@kbin.melroy.org 2 points 2 days ago (1 children)

Correct, this kind of software is trained on CP data. So such models can be easily used to generate CP instead of recognizing it, which makes them very dangerous indeed.

Same idea as the current models that are trained to recognized cars, these models can also be used to generate a car from noise as a starting poiint.

[–] xionzui@sh.itjust.works 5 points 2 days ago (1 children)

In pretttty sure you can’t just run it in reverse like that. There’s a whole different training and operation methodology you have to use to support generating images rather than simple text classification

[–] JackbyDev@programming.dev 2 points 1 day ago

There is a method of training where you use one system to make things and another to detect them. I forget the name of this approach, but it definitely is an approach.