Global Survey Announcement: What publishing stakeholders really think about AI-assisted peer review?
AI is transforming the way research is communicated, reviewed, and published; primarily driven by its growing potential in manuscript screening, plagiarism detection, and assisting peer reviewers with content evaluation.” But how comfortable are peer reviewers, editors, and authors with this shift?
We’re launching a short scenario-based survey titled, “What Publishing Stakeholders Really Think About AI-Assisted Peer Review?” to understand the current attitude, experiences, and concerns around the use of AI in peer review. The survey is designed to move beyond theoretical debates. By presenting realistic, practical scenarios faced by editors, authors, and reviewers, we aim to uncover what’s actually happening on the ground—and what support is needed for ethical and confident AI adoption.
Why Does Your Participation Matter?
Whether you’re a peer reviewer, journal editor, researchers, publishing professional, AI Ethicist, or policy maker, your insights will help set future policies and shape responsible AI integration in scholarly publishing.
Expected Outcomes:
- Gain a clear picture of how AI tools are being used in peer review workflows.
- Understand the concerns and challenges faced by peer reviewers and editors when using AI tools in peer review.
- Gather insights into the ethical considerations and expectations that should guide publishers, editors, and developers when integrating AI in peer review.
- Uncover gaps in AI literacy and identify areas where clearer communication, training, or institutional support could build trust and confidence in these tools.
The study findings will be shared on open access forums and/or presented on global platforms.
Know someone who reviews or edits manuscripts? Please share this survey with them and on your social media with the hashtag #PRWwithEnago so that we can gather diverse perspectives across disciplines and regions.
Together, we can build a more transparent, informed, and tech-enabled approach in peer review. Let’s ensure that AI in publishing evolves with the inputs of those who matter most—you!
