The RAG-XAI framework detects AI-written peer reviews at 99.61% accuracy by extracting markers like repetition and missing personal signals, while warning that machine review systems could homogenize scientific output.
Using an Artificial intelligence chatbot to critically review the scientific literature on the use of Artificial intelligence in Environmental Impact Assessment
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Are we still able to recognize pearls? Machine-driven peer review and the risk to creativity: An explainable RAG-XAI detection framework with markers extraction
The RAG-XAI framework detects AI-written peer reviews at 99.61% accuracy by extracting markers like repetition and missing personal signals, while warning that machine review systems could homogenize scientific output.