Perspective reveals strategies to detect ethical breaches and errors in manuscripts using generative AI, suggesting improvement for research integrity.
Key Points
Detecting unethical AI use in scientific manuscripts can enhance research integrity and guard against misconduct.
Existing AI detectors reveal significant gaps in performance, particularly in genre sensitivity and vulnerability to adversarial attacks.
AI tools have potential for identifying statistical errors, image manipulation, and citation validation in published research.
Despite current limitations in accuracy, ongoing developments mark promising advances toward AI-assisted quality control in scholarly publishing.