Journal article
Developing Judgment: Responsible AI Use for Peer Reviewers
Human resource development quarterly, v 37(3), pp 219-225
09 Sep 2026
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Abstract
Reviewing is the science and art of scholarly judgment, which forms a core pillar of knowledge production. Generative artificial intelligence (AI) poses a risk to this judgment during the review process. Evidence from outside HRD shows that AI-assisted reviews are generally more lenient and converge on one another. This editorial develops reviewer-facing guidance for human resource development (HRD) by identifying three points at which AI might enter the review process: the transmission of the manuscript, the expression of the report, and the formation of judgment. Transmission is prohibited across nearly all current policies; expression may be assisted and disclosed; and judgment must remain the reviewer's own. The argument we make here rests on research into cognitive offloading and expertise, and therefore on what a reviewer loses by delegating parts of this process to AI. We close with a research agenda to explore the potential for responsible AI use in reviewing.
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Details
- Title
- Developing Judgment: Responsible AI Use for Peer Reviewers
- Creators
- Oliver S. Crocco - Louisiana State UniversityRajashi Ghosh - Columbia UniversitySewon Kim - Empire State UniversityToby Egan - University of Maryland, College Park
- Publication Details
- Human resource development quarterly, v 37(3), pp 219-225
- Publisher
- Wiley
- Number of pages
- 7
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:001871618300001
- Other Identifier
- 991022232545504721