Teaching and Learning with AI Conference

As generative AI becomes embedded in academic workflows, faculty are increasingly experimenting with its use in peer review and often without clear or consistent guidance. Publisher policies vary widely, raising an important question for higher education: what role, if any, should AI play in peer review? Drawing on experience reviewing qualitative research, this session examines ethical, practical, and scholarly considerations, including confidentiality, trust, and reviewer accountability. Participants will explore responsible uses, common pitfalls, and leave with guiding questions to support transparent, ethical, and effective AI-assisted peer review practices.