AI only knows what has gone through it’s training data, both from the developers and the end users.
Yes, and as I’ve said repeatedly, it’s able to synthesize novel images from the things it has learned.
If you train an AI with pictures of green cars and pictures of red apples, it’ll be able to figure out how to generate images of red cars and green apples for you.
Is an image of a child inappropriate? Fully clothed, nothing going on.
Is the image of an adult engaging in sexual activity inappropriate?
Based on those two concepts, it can generate inappropriate child sexual imagery.
You may have done OCR work a while ago, but that is not the same type of machine learning that goes into typical generative AI systems in the modern world. It very much seems as though you are profoundly misunderstanding how this technology operates if you think it can’t generate a novel combination of previously trained concepts without a prior example.
It’s possible to legally photograph young people. Completely ordinary legal photographs of young people exist, from which an AI can learn the concept of what a young person looks like.
Do a Google Image search for “child” or “teenager” or other such innocent terms, you’ll find plenty of such.
I think you’re underestimating just how well AI is able to learn basic concepts from images. A lot of people imagine these AIs as being some sort of collage machine that pastes together little chunks of existing images, but that’s not what’s going on under the hood of modern generative art AIs. They learn the underlying concepts and characteristics of what things are, and are able to remix them conceptually.
Ha.
Yes, and as I’ve said repeatedly, it’s able to synthesize novel images from the things it has learned.
If you train an AI with pictures of green cars and pictures of red apples, it’ll be able to figure out how to generate images of red cars and green apples for you.
Exactly. And if you ask it for the opposite of an older MILF, then how does it know what younger ladies look like?
Is an image of a child inappropriate? Fully clothed, nothing going on.
Is the image of an adult engaging in sexual activity inappropriate?
Based on those two concepts, it can generate inappropriate child sexual imagery.
You may have done OCR work a while ago, but that is not the same type of machine learning that goes into typical generative AI systems in the modern world. It very much seems as though you are profoundly misunderstanding how this technology operates if you think it can’t generate a novel combination of previously trained concepts without a prior example.
I’m referring to the inappropriate photography and videos out there. Please learn to read.
It’s possible to legally photograph young people. Completely ordinary legal photographs of young people exist, from which an AI can learn the concept of what a young person looks like.
The only example I can think of with what you said is just a couple brief innocent scenes from The Blue Lagoon.
Short of that, I don’t know (nor care for any references to) any other legal public images or video of anything as such.
I dunno, I’m just bumfuzzled how AI, whether public or private, could have sufficient information to generate such things these days.
Do a Google Image search for “child” or “teenager” or other such innocent terms, you’ll find plenty of such.
I think you’re underestimating just how well AI is able to learn basic concepts from images. A lot of people imagine these AIs as being some sort of collage machine that pastes together little chunks of existing images, but that’s not what’s going on under the hood of modern generative art AIs. They learn the underlying concepts and characteristics of what things are, and are able to remix them conceptually.
And conceptually, if I had never seen my cousin in the nude, I’d never know what young people look naked.
No that’s not a concept, that’s a fact. AI has seen inappropriate things, and it doesn’t fully know the difference.
You can’t blame the AI itself, but you can and should blame any and all users that have knowingly fed it bad data.