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Where does the training data come from to create indecent images of children?
It doesn't need csam data for training, it just needs to know what a boob looks like, and what a child looks like. I run some sdxl-based models at home and I've observed it can be difficult to avoid more often than you'd think. There are keywords in porn that blend the lines across datasets ("teen", "petite", "young", "small" etc). The word "girl" in particular I've found that if you add that to basically any porn prompt gives you a small chance of inadvertently creating the undesirable. You have to be really careful and use words like "woman", "adult", etc instead to convince your image model not to make things that look like children. If you've ever wondered why internet-based porn generators are on super heavy guardrails, this is why.
From a few months ago
https://cyber.fsi.stanford.edu/news/investigation-finds-ai-image-generation-models-trained-child-abuse
I'm not going to say that csam in training sets isn't a problem. However, even if you remove it, the model remains largely the same, and its capabilities remain functionally identical.
At that point it's still using photos of children to generate csam even if you could somehow assure the model is 100% free of csam
That would be true, it'd be pretty difficult to build a model without any pictures of children at all, and then try and describe to the model how to alter an adult to make a child. Is anyone asking for that though? To make it illegal to have regular pictures of children in these datasets?
No but it is a reason why generating csam should be illegal. You're using data trained on pictures of real kids
I'm not arguing whether or not it should be legal, I was just offering my first hand experience in regards to the capabilities of these local models since people seem to be confused as to how this actually works.
I was responding to this part of your comment which directly refers to legality
I guess I just misunderstood what you were arguing then. For posterity: I believe datasets containing children is fine, datasets containing csam is not, and the legality of generating csam should be left up to psychologists on whether or not it is a societal net benefit. Whichever way is better for children that exist is my vote.
Thanks for the reply, it's given me a good idea of what's most likely happening :)
It's a shame that the rest of the thread went to shit, but unfortunately it's an emotional topic, and brings out emotional responses
Always happy to try and productively add to someone's learning.
The whole point of diffusion models is that you can generate new concepts using training data. Models trained on any nsfw images can combine those concepts with any of its non-nsfw concepts. Of course, that's not to say there isn't CSAM in any training data, because there objectively has been in the past, but there doesn't need to be any to generate it.
Thanks for the reply, that makes a lot of sense :)
Thanks for not being a dick! I aim to inform
Ai is able to fill in the last field in a table like "Old / young" vs "Clothed / naked" when given three of the four fields.
Csam is in the training data. From a few months ago
https://cyber.fsi.stanford.edu/news/investigation-finds-ai-image-generation-models-trained-child-abuse
Please reiterate your statement but instead using the "goose chase meme" format.