Authorship, Integrity, and AI: How Academic Publishers Are Responding to Generative Artificial Intelligence

• In Event: AERA Roundtable Session Thursday 9:45 am - Gold 1
  In Roundtable Session: From Authorship to Algorithm: Rethinking Policy, Integrity, and Academic Publishing in the AI Era

Abstract

This study examines how top-tier education journals and major publishers are responding to the rise of generative AI through policies on authorship, peer review, and image use in academic journals. We conducted a descriptive analysis of top journals’ GenAI policies and a content analysis of the five leading publishers. Our findings reveal wide variation in transparency, with many journals lacking explicit guidance on AI use. This absence raises critical questions about authorship, agency, and academic integrity in an AI-mediated research landscape. We follow with recommendations for the field.

Authors

• Azadeh Hassani, University of Nebraska - Lincoln

• Guy Trainin, University of Nebraska - Lincoln

• Shuling Yang, University of Maryland - Baltimore County

• Carin L. Appleget, Creighton University