Researchers are hiding prompts in academic papers to manipulate AI peer review
SMRTR summary
Researchers are embedding hidden instructions in preprint manuscripts to manipulate AI-powered peer reviews. This practice, discovered in papers from multiple countries, aims to influence large language models used in academic evaluation. The trend raises concerns about scholarly integrity and highlights growing tensions between AI and traditional peer review processes. Some authors justify it as a counter to "lazy" AI-based reviews, while critics argue it undermines meaningful academic discourse.
SMRTR provides this summary for quick context. The original article belongs to TechSpot.
Read the original article