Nature: AI-Generated Scientific Reviews Successfully Bypass Detectors

On December 20, 2025, the journal Nature published a resonant study questioning the integrity of the modern scientific peer review system. Scientists found that article reviews generated by popular language models successfully bypass specialized plagiarism and AI detectors in most cases. This creates a dangerous situation where algorithmically created "rubber stamps" replace thoughtful analysis by human experts.

The problem is exacerbated by the fact that AI reviews often appear grammatically flawless and use complex academic vocabulary, making them difficult to identify even for experienced editors. Researchers warn that mass adoption of such tools could lead to a decline in the quality of scientific publications and allow fundamental errors in papers to slip through. The Nature report calls on the scientific community to overhaul validation processes and develop new methods for verifying expert opinion to maintain trust in academic science.

Source: Nature