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Hidden AI Prompts in Peer Review: An Ethical Challenge

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by Giorgi Kostiuk

4 hours ago


Recent revelations about hidden AI prompts in the review of academic papers raise ethical concerns within the academic community. This overview highlights complex issues of fairness and trust in scholarly publishing.

Understanding Hidden AI Prompts

According to reports from Nikkei Asia, some academics have begun using hidden AI prompts within their preprint papers. These prompts are designed to influence AI tools that may be employed in the peer review process to secure positive feedback. Seventeen such cases were identified on the arXiv platform, across different countries, including Japan, South Korea, and the USA. These prompts are often presented in the form of white text on a white background or in small font sizes.

Motivations for Using Hidden Prompts

Some academics justify their actions by claiming that hidden prompts serve as a counter against 'lazy reviewers' who use AI. The pressure to achieve publication in a highly competitive environment drives researchers to seek any potential advantages. This leads to ethical dilemmas that undermine the integrity of the entire review system.

Impact on Academic Integrity

The use of hidden AI prompts directly threatens the essence of academic integrity. It can erode trust in published research, result in bias in work evaluation, and undermine the principle of meritocracy. Additionally, the covert nature of these manipulations complicates detection, necessitating efforts from reviewers and platforms to develop means of identification.

The emergence of hidden AI prompts in peer review poses a significant challenge to the principles of academic integrity. The need for clear ethical standards and accountability in the use of AI is becoming increasingly urgent to maintain the reliability of scholarly work.

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