A ML system reflects back the input it is given. If that input is human language, a very good ML system will produce output that looks like human language.
It is conceptually like a mirror. A good mirror, if you put a human in front of it, will produce output that looks exactly like a human. But we know it is not a human. Not because of some flaw in its representation, but because we understand how mirrors work.
It is conceptually like a mirror. A good mirror, if you put a human in front of it, will produce output that looks exactly like a human. But we know it is not a human. Not because of some flaw in its representation, but because we understand how mirrors work.