Humans reach 64.8% accuracy detecting synthetic legal evidence images overall but drop to chance levels on top generators, while MLLMs achieve 100% specificity yet only 5.9% detection on the hardest synthetics, with uncorrelated error patterns.
What you see is not what you get anymore: a mixed- methods approach on human perception of AI-generated images
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
dataset 1polarities
use dataset 1representative citing papers
Humans perform at chance levels when distinguishing generative AI content from human content in text, images, and voice.
citing papers explorer
-
Is it Cake or is it AI? A Systematic Review of Human Uncertainty in Distinguishing Generative Artificial Intelligence Content
Humans perform at chance levels when distinguishing generative AI content from human content in text, images, and voice.