Is it Cake or is it AI? A Systematic Review of Human Uncertainty in Distinguishing Generative Artificial Intelligence Content
Year: 2026
Type: preprint
Study design: Systematic Review
Abstract: This systematic review synthesized empirical evidence on human ability to distinguish generative artificial intelligence content from human‑produced content across text, image, and voice modalities. A structured search of Scopus identified 22,541 records from 2025-2026, of which 1200 were screened and 30 studies were included. Across these studies, human detection accuracy varied widely but generally clustered around chance performance. Overall, the literature shows that humans are generally unreliable detectors of gen AI content, raising broader questions about whether the ability to tell should matter for how we evaluate or trust content.
Author: Mark Louie F. Ramos
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7151479837