For me the questions about creating original content comes down to what is copy and pasting and what is actually new?
If I am an artist (no mistake here, I am not, just for the sake of argument and to help illustrate) and I draw a picture of a face using pencils and a person sitting for the portrait, I did not create the face, nor do I own it, yet I might own the drawing if I did not do it under contract.
How about if I use a camera instead of pencils and paper? Again, I do not own the face, yet I am creating an original work based on another person, or it could as easily be a landscape, car, bird, etc.
What if I use water colors and create a alien planet? Did I do so from my own imagination, or was I inspired by a book, and if so, did I create the painting for a book cover?
All of the above is nice and clear cut, or about as much as can be expected. But what if I am a digital media artist, where I take the photo of the person and use tools in a paint or photo editing program and convert it to a duo color print, or give it a metallic look that it lacked before, just by applying a filter or effect?
Does the AI know what a face looks like, what makes it a face, and can it create a new face based on it's own likes and dislikes? What would it's ideal face be? A police artist, based on descriptions alone, can draw a likeness of a suspect, can AI do so without copying and pasting it together?
We have had similar things for years now. Neural nets and rule based systems. A good example of a rule based system is a financial advisor tool. Years (20+?) ago I heard about a financial program to assist financial advisors, and the tests proved interesting. One of the test results had the advisor asking how the program arrived at it's suggestion. It showed the bias in the human advisor (because we have always done it that way) and the program (it was the first of a couple different options). Neither human nor program was wrong, just arrived at equally valid answers based on there own bias.