AI models can write convincing fraudulent peer reviews that evade current detection tools, posing a new risk for research integrity.
Key Details
- 1Chinese researchers used the AI model Claude to review 20 actual cancer research manuscripts.
- 2The AI produced highly persuasive rejection letters and requests to cite irrelevant articles.
- 3AI-detection tools misidentified over 80% of the AI-generated reviews as human-written.
- 4Malicious use could enable unfair rejections and citation manipulation within academic publishing.
- 5AI could also help authors craft strong rebuttals to unfair reviews.
- 6Authors call for guidelines and oversight to preserve scientific integrity.
Why It Matters
Radiology and imaging AI research are heavily dependent on fair and trustworthy peer review processes. The inability to reliably detect AI-generated, fraudulent reviews threatens the credibility of published research and the overall progress of the field.
Source
EurekAlert
Related News
•EurekAlert
Imaging Reveals Skull Changes and Immune Impact in Glioblastoma
Advanced imaging uncovers that glioblastoma affects the skull and immune system, not just the brain.
•EurekAlert
AI Time Series Model Boosts EEG-Based Seizure Prediction by 44%
UC Santa Cruz engineers' 'future-guided' deep learning improves seizure prediction accuracy using EEG data.
•EurekAlert
Study Finds Doctors, Nurses Outperform AI for Emergency Triage
Clinical staff outperform ChatGPT AI at emergency department triage, but AI shows promise as a support tool for urgent cases.