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Sex offender banned from using AI tools in landmark UK case
(www.theguardian.com)
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this post was submitted on 21 Apr 2024
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Not taking sides, but his argument hinged on the stable diffusion model not having CSAM in it, and using non-CSAM images in order to generate CSAM.
So he's already answered the question of what the models are trained on.
Whether those models actually are clean/safe is a different question.
Here's the problem, it doesn't matter if it was or not. It does, but that's a different issue.
My point is, how do you know it wasn't trained on csam?
You can't possibly. You can point to all the places where csam isn't and say "we haven't found any illegal images yet." But you can't say with 100% certainty that there are none.
And since you can't prove that no csam is used to train the model, any argument beyond that point is moot. If this were almost any other issue I'd say eliminating 99.99% of the risk is completely valid and safe. But we're not talking about a celebrity or a porn star. We're talking about child victims of sexual assault, and to that end we should not accept anything other than absolute certainty. And because absolute certainty cannot exist, we should not simply accept it as a society.
I'm not disagreeing, I also don't want these models producing CSAM.
But in the hypothetical that we have a clean model that still generates CSAM, what would be your argument against it?