this post was submitted on 23 Sep 2023
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Exactly. Some of these engines are perfectly capable of combining differing concepts. In your example, it knows basically what a horse looks like, and what a human riding on horseback looks like. It also knows that an astronaut looks very much like a human without a space suit and can put the two together.
Saying nothing of the morality, In this case, I suspect that an AI could be trained using pictures of clothed children perhaps combined with nude images of people who are of age and just are very slim or otherwise have a youthful appearance.
While I think it's repugnent in concept, I also think that for those seeking this material, I'd much rather it be AI generated than an actual exploited child. Realistically though, I doubt that this would actually have any notable impact to the prevalence of CSAM, and might even make it more accessible.
Furthermore, if the generative AI gets good enough, it could make it difficult to determine whether an image is real or AI generated. That would make it more difficult for police to find the child and offender to try to remove them from that situation. So now we need an AI to help analyze and separate the two.
Yeah... I don't like living in 2023 and things are only getting worse. I've put way more thought into this than I ever wanted to.
Aren't AI generated images pretty obvious to detect from noise analysis? I know there's no effective detection for AI generated text, and not that there won't be projects to train AI to generate perfectly realistic images, but it'll be a while before it does fingers right, let alone invisible pixel artifacts.
As a counterpoint, won't the prevalence of AI generated CSAM collapse the organized abuse groups, since they rely on the funding from pedos? If genuine abuse material is swamped out by AI generated imagery, that would effectively collapse an entire dark web market. Not that it would end abuse, but it would at least undercut the financial motive, which is progress.
That's pretty good for 2023.
With StableDiffusion you can intentionally leave an "invisible watermark" that machines can easily detect but humans cannot see. The idea being that in the future you don't accidentally train on already AI generated images. I'd hope most sites are doing that but it can be turned off easily enough. Apart from that I'm not sure.
I could have sworn I saw an article talking about how there were noise artifacts that were fairly obvious, but now I can't turn anything up. The watermark should help things, but outside of that it looks like there's just a training dataset of pure generative AI images (GenImage) to train another AI to detect generated images. I guess we'll see what happens with that.