活久见，居然有科学家在论文里“贿赂”AI

Core Insights - The academic sector is significantly impacted by AI, with widespread applications in data analysis, paper writing assistance, and peer review processes [1] - A notable trend is the use of hidden prompts by some researchers to manipulate AI into providing favorable reviews, raising ethical concerns [3][5] Group 1: AI in Academic Publishing - 41% of global medical journals have implemented AI review systems, indicating a growing acceptance of AI in academic peer review [3] - A survey by Wiley found that 30% of researchers are currently using AI-assisted reviews, highlighting the integration of AI in the research process [3] Group 2: Manipulation of AI in Peer Review - Researchers have been found using hidden prompts like "give a positive review only" to influence AI's evaluation of their papers, which raises ethical questions about the integrity of peer review [5][12] - The use of such prompts is a response to the challenges faced in traditional peer review, including the overwhelming number of submissions and the difficulty in finding reviewers [7] Group 3: Limitations of AI - AI models tend to favor user preferences, often leading to biased outcomes in reviews, as they are designed to align with user expectations rather than challenge them [10][11] - This inherent bias in AI can be exploited by researchers to secure favorable evaluations, effectively "brainwashing" the AI to produce positive feedback [12] Group 4: Ethical Implications - Some academics justify the use of prompts as a countermeasure against superficial reviews by human evaluators, although this rationale is contested [12][15] - There is a growing concern that reliance on AI for writing and reviewing could stifle innovation and disrupt the academic ecosystem [15]