this post was submitted on 21 Apr 2024
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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.

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[–] [email protected] 60 points 7 months ago* (last edited 7 months ago) (4 children)

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.

[–] [email protected] 16 points 7 months ago (4 children)

Where does the training data come from to create indecent images of children?

[–] [email protected] 51 points 7 months ago* (last edited 7 months ago) (40 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.

[–] [email protected] 3 points 6 months ago (1 children)

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

[–] [email protected] 2 points 6 months ago

Always happy to try and productively add to someone's learning.

[–] [email protected] 3 points 6 months ago (1 children)
[–] [email protected] 2 points 6 months ago (6 children)

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.

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[–] [email protected] 28 points 7 months ago (1 children)

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.

[–] [email protected] 3 points 6 months ago (1 children)

Thanks for the reply, that makes a lot of sense :)

[–] [email protected] 3 points 6 months ago

Thanks for not being a dick! I aim to inform

[–] [email protected] 10 points 7 months ago (1 children)

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.

[–] [email protected] 5 points 7 months ago

Please reiterate your statement but instead using the "goose chase meme" format.

[–] [email protected] 2 points 6 months ago

It brings me to ask the question if lolicon could be their next target?