As AI-generated text continues to evolve, distinguishing it from human-authored content has become increasingly difficult. This study examined whether non-expert readers could reliably differentiate between AI-generated poems and those written by well-known human poets. We conducted two experiments with non-expert poetry readers and found that participants performed below chance levels in identifying AI-generated poems (46.6% accuracy, χ2(1, N = 16,340) = 75.13, p < 0.0001). Notably, participants were more likely to judge AI-generated poems as human-authored than actual human-authored poems (χ2(2, N = 16,340) = 247.04, p < 0.0001). We found that AI-generated poems were rated more favorably in qualities such as rhythm and beauty, and that this contributed to their mistaken identification as human-authored. Our findings suggest that participants employed shared yet flawed heuristics to differentiate AI from human poetry: the simplicity of AI-generated poems may be easier for non-experts to understand, leading them to prefer AI-generated poetry and misinterpret the complexity of human poems as incoherence generated by AI.
The difference is the intent and the background behind it.
Sure for maximum mass adoption the computer can out-research any human and just find the blandest set of rules which cater to the highest percentage of the majority.
What it still will have a hard time doing, and I predict it will be for quite some time - probably until we have quantum computers - is to come up with a new way of doing poetry which is not just copying what humans did but better.
I think of AI like it’s China, they are super efficient in copeing things and gradually making them better and cheaper but the setup of their society makes it impossible to really innovate.
And yeah I’m saying that it’s the setup, because in Taiwan they are able to innovate at a much higher rate.