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Prompt injection in manuscripts: exploiting loopholes or crossing ethical lines?
1School of Criminal Investigation, People's Public Security University of China, Beijing, China.
Research Integrity and Peer Review
|March 23, 2026
Summary
Prompt injection in AI-assisted academic publishing raises ethical concerns. This study found 80% support AI transparency in peer review and identified gaps in misconduct definitions, urging revised ethical frameworks.
Area of Science:
- Academic Publishing
- Artificial Intelligence
- Research Ethics
Background:
- AI integration in academic publishing presents ethical challenges, notably prompt injection.
- Prompt injection involves embedding hidden instructions to manipulate AI in peer review.
- This practice raises concerns about the integrity of scholarly communication.
Purpose of the Study:
- To investigate awareness and perceptions of prompt injection among academic publishing stakeholders.
- To assess views on AI transparency and its ethical implications in peer review.
- To identify gaps in current research misconduct definitions regarding AI interventions.
Main Methods:
- Mixed-methods approach combining content analysis of integrity guidelines and a survey.
- Survey of 194 authors, peer reviewers, and editors across diverse academic fields.
- Analysis focused on awareness, ethical perceptions, and AI transparency in peer review.
Main Results:
- 80% of participants advocate for increased AI transparency in peer review.
- Respondents expressed frustration with AI feedback inconsistencies, leading some to consider prompt injection.
- Current research misconduct definitions fail to address AI intervention ethics adequately.
Conclusions:
- Urgent need for updated ethical frameworks addressing AI in academic publishing.
- Policies promoting transparency and integrity in AI-assisted peer review are essential.
- Addressing prompt injection and AI ethics is crucial for maintaining scholarly standards.
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