A sex offender convicted of making more than 1,000 indecent images of children has been banned from using any “AI creating tools” for the next five years in the first known case of its kind.
Anthony Dover, 48, was ordered by a UK court “not to use, visit or access” artificial intelligence generation tools without the prior permission of police as a condition of a sexual harm prevention order imposed in February.
The ban prohibits him from using tools such as text-to-image generators, which can make lifelike pictures based on a written command, and “nudifying” websites used to make explicit “deepfakes”.
Dover, who was given a community order and £200 fine, has also been explicitly ordered not to use Stable Diffusion software, which has reportedly been exploited by paedophiles to create hyper-realistic child sexual abuse material, according to records from a sentencing hearing at Poole magistrates court.
UK legislators have a long history of taking actions not informed by science or reason but rather the popular, often hysteric, opinion.
This case is yet another attempt at tightening screws where they shouldn’t be.
AI imagery was produced by Stable Diffusion, the model that, for all we know, did not take real CSAM as inputs and caused no harm to actual children. At the same time, such images are important at discouraging the consumption of real CSAM, with very real children being traumatized.
By banning AI imagery production using safe models, legislators leave no legal way for pedophiles to get something by the harmless means, directing many to the harmful ways as equally illegal, while also prosecuting those who did no harm.
counter point:
if you have a folder of AI generated CP and put in a couple of pictures of actual CP it’s going to muddle the case as the offender could claim all of them are simply AI generated. Real harm could go unnoticed if those two were to be treated differently.
Additionally, not every offender will stop at AI generated images, and if their curiosity becomes enough they could go on to want to experience “the real thing”.
You do realize that slippery slope argument is what’s used when it comes to banning anything else, right?
“Can’t legalize marijuana or people will start wanting to do meth” for example.
I don’t have any of these Tendencies but I like to think that if I did I would chemically remove my sex drive
That’s up to everyone. Besides, most pedophiles do have sexual interest towards adults as well, and current means reduce that drive too.
Chemical castration in this context increases misery and makes building healthy adult relationships harder. Most pedophiles do not opt for that, for all I know.
Current therapeutic methods do include suppressing sex drive in case the client struggles with impulse control. Otherwise, it is not offered, but can be given on request.
As a UK citizen, I’m ashamed of my government.
I am firmly against child abusers, but AI images don’t harm anyone and are a safe and harmless way for pedophiles to fulfil their urges, which they cannot control.
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.
It is true, a 10 year old naked woman is just a 30 year old naked woman scaled down by 40%. /s
No buddy, there isn’t some vector of “this is the distance between kid and adult” that a model can apply to generate what a hypothetical child looks like. The base model was almost certainly trained on more than just anatomical drawings from Wikipedia - it ate some csam.
If you’ve seen stuff about “Hitler - Germany + Italy = Mousillini” for models where that’s true (which is not universal) it takes an awful lot of training data to establish and strengthen those vectors. Unless the generated images were comically inaccurate then a lot of training went into this too.
Right, and the google image ai gobbled up a bunch of images of black george washington, right? They must have been in the data set, there’s no way to blend a vector from one value to another, like you said. That would be madness. Nope, must have been copious amounts of asian nazis in the training set, since the model is incapable of blending concepts.
You’re incorrect and you should fucking know better.
I have no idea why my comment above was downvoted to hell but AI can’t “dream up” what a naked young person looks like. An AI can figure that adults wear different clothes and put a black woman in a revolutionary war outfit. These are totally different concepts.
You can downvote me if you like but your AI generated csam is based on real csam so fuck off. I’m disappointed there is such a large proportion of people defending csam here especially since lemmy should be technically oriented - I expect to see more input from fellow AI fluent people.
You’re spreading misinformation and getting called out for it.
Just a note - csam has been found in model training sets: https://cyber.fsi.stanford.edu/news/investigation-finds-ai-image-generation-models-trained-child-abuse
