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.
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.
I don’t know what the right answer is, but we provide substitutes for drug addicts to help them overcome their addictions. Methadone and nicotine patches come to mind.
Is it completely inconceivable that a similar tool would help with harmful sexual desires?
Let’s compare it with adult pornography. Does the consumption of adult pornography remove the desire to have sex with another adult in the long term? Or does it reinforce the sexually desirable characteristics of adults?
The underlying behavior is the problem though. While substitutions could potentially be made available, this isn’t the same as drug addiction. The reality is that while a pedo could be satiated with a drop in replacement for a time (and possibly indefinitely), there is a very real risk that after a while they’re not satisfied with pretending and could quickly jump to the real thing in a split second. The due course, in my mind, is either modifying the depraved behavior or removing the person from society. While drug addiction can be a vice that doesn’t inflict harm on the rest of society (ie an addict is potentially able to silo their use from the rest of society), pedophilia is always a crime with a victim. The entire purpose of the situation is ensuring that no one becomes a victim of sex crimes, especially minors, and it is too great a risk to allow in any form.
I was listening to a podcast on moral philosophy (wouldn’t you wanna be as cool as me??), and one suggestion that’s stuck with me was the morality of, trigger warning,
spoiler
‘life like child sex robots’.
As in, would we as a society want to permit such things, knowing that they could potentially save humans from actual harm if they offer an outlet that scratches an itch? On the other hand, would they bring forth more harmful desires in a greater number of potential perpetrators, leading to even more harm?
Anyway, I’m glad it’s not my job to contemplate such disturbing topics.
Current mental help methods for pedophiles include acceptance of their desires as normal, just not something to act on IRL.
It does not prohibit any fictional materials including children, nor can it make someone uninterested in children.
By stripping away safe outlets, we may come at risk of these people increasingly turning to real CSAM, which is way more harmful.
What do you know of the current methods. Where did this information come from? I’d really like to see it. You spoke with such knowledge, you must have the data to make it up, right?
I’m pretty sure that this is not true. I’d love to see sources.
There was some research before the ongoing AI-panic, focusing on hentai instead. As it is as “harmless” as the AI-generated content.
And I do recall that at the time there were voices in research making the point that the consumption of material did not have correlation with actually reducing the urges. So this seems highly unlikely.
Current mental help methods for pedophiles include acceptance of their desires as normal, just not something to act on IRL.
I am not aware of the research in this area although I have a minor psych background so that’s interesting and makes sense in hindsight. My understanding is that a large part of the compulsion is driven by guilt, shame, feelings of worthlessness, prior victimizations of themselves, etc. Essentially trying to gain a sense of power by taking it from those more vulnerable than them, like an abuser beating their spouse because someone at work put them down. So it makes sense to encourage a sense of power and lessen any sense of guilt and shame.
On a side note, I can’t imagine having their name plastered everywhere does anything but trigger the compulsion to re-offend. Maybe when we advance more as a society, we can separate individuals into categories of has-offended and child-attracted, with the former being on a public danger list and the latter having frequent discreet visits by social workers and mandatory counselors, etc. To lessen the chance of offense and possibly start helping them before they get to the offense stage (those that were ever going to offend.)
This sort of problem-solving acumen is how HIV became so widespread in Africa. Have you considered instead trying competence?
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.
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
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
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.
