A sort of related idea was explored with this site, where millions (ok, thousands) of users evolve shapes that look like whatever they want, but likely with a strong bias toward shapes recognizable to humans. Over time, many common motifs arise:
You'd need another classifier to tell you "nope it's actually just random noise and shapes" ... hm.
Who gets to decide what is really a picture of a panda?
If we'd manage to craft a picture that could with very high certainty trick human neural nets (for the sake of argument, including those higher cognitive functions) into believing something is a picture of a panda, "except it actually really isn't", what does that even mean?
Human insists it's a picture of a panda, computer classifier maintains it's noise and shapes.
Who is right? :)
Kind of like the memes in Snowcrash, ancient forgotten symbols that make up the kernel of human thought.