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Sex offender banned from using AI tools in landmark UK case (www.theguardian.com)

submitted 7 months ago by [email protected] to c/[email protected]

167 comments fedilink hide all child comments

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] 1 points 6 months ago (1 children)

The model should not have had access to naked prepubescent imagery. If it did, that's a problem. My argument in this thread is that it did have access to csam and thus is able to regurgitate them.

I honestly think you and I are in agreement. I'm not arguing that the model is regurgitating known csam but the model ingested csam[1] and the output is derived from that csam. The fact that it can now make csam in the style of Van Gogh is a property of how these models can combine motifs... the fact that it understands how to generate csam at all is the problem.

https://cyber.fsi.stanford.edu/news/investigation-finds-ai-image-generation-models-trained-child-abuse

[–] [email protected] -1 points 6 months ago

Ah, I see. I'm sorry; I misunderstood your argument. Yes, given the fact that csam is part of the training data, it would likely be able to reproduce it. I thought your argument was the reverse hypothetical: "If the model is able to produce csam then it must have been trained on csam." which is incorrect. Again, my apologies for misunderstanding.