• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

information for practice

news, new scholarship & more from around the world


advanced search
  • gary.holden@nyu.edu
  • @ Info4Practice
  • Archive
  • About
  • Help
  • Browse Key Journals
  • RSS Feeds

AI-enabled cheating points to ‘Untenable’ peer review system

IHE | J Morrison/PhonlamaiPhoto/iStock/Getty
IHE | J Morrison/PhonlamaiPhoto/iStock/Getty

If reviewers are merely skimming papers and relying on LLMs to generate substantive reviews rather than using it to clarify their original thoughts, it opens the door for a new cheating method known as indirect prompt injection, which involves inserting hidden white text or other manipulated fonts that tell AI tools to give a research paper favorable reviews. The prompts are only visible to machines, and preliminary research has found that the strategy can be highly effective for inflating AI-generated review scores.

Posted in: News on 07/23/2025 | Link to this post on IFP |
Share

Primary Sidebar

Categories

Category RSS Feeds

  • Calls & Consultations
  • Clinical Trials
  • Funding
  • Grey Literature
  • Guidelines Plus
  • History
  • Infographics
  • Journal Article Abstracts
  • Meta-analyses - Systematic Reviews
  • Monographs & Edited Collections
  • News
  • Open Access Journal Articles
  • Podcasts
  • Video

© 1993-2025 Dr. Gary Holden. All rights reserved.

gary.holden@nyu.edu
@Info4Practice