Detecting AI-Generated Content in Academic Peer Reviews
Deepfake Lab
1 February 03, 2026

Detecting AI-Generated Content in Academic Peer Reviews

Evidence Level
2/5

How much verified proof exists for this claim

One strong evidence source: arxiv

Mystery Factor
3/5

How intriguing or unexplained this claim is

The claim involves active investigation into the use of AI in academic peer reviews, with multiple competing theories about the extent and impact of AI-generated content. There are notable unknowns regarding the timeline and implications of these findings, contributing to a moderate level of mystery.

The growing availability of large language models (LLMs) has raised questions about their role in academic peer review. This study examines the temporal emergence of AI-generated content in peer reviews by applying a detection model trained on historical reviews to later review cycles at International Conference on Learning Representations (ICLR) and Nature Communications (NC). We observe minimal detection of AI-generated content before 2022, followed by a substantial increase through 2025, w...

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