Use of Generative AI in Scholarly Research: Challenges and Opportunities

The focus of this panel report is to present evidence of a panel discussion that took place in October 2025 on the use of generative artificial intelligence (GAI) in academic research and publishing. The panel included publishers (Elsevier, Emerald, Galiot Press, MIT Press, Nature/Springer, Wiley) and editors-in-chief (representing the Information Systems Journal, Journal of the AIS, Journal of Data Science and ICES Journal of Marine Science). Key outcomes of the panel are the following: (1) publishers and editors have some disagreements regarding GAI use; (2) besides disagreements, all recognize that GAI is here to stay, and therefore, outstanding issues (e.g., training for PhD students and junior faculty and consequences for unallowed uses of GAI) need to be addressed jointly; (3) GAI is in constant flux, and this is a challenge for publisher and journal policies; and (4) it is unclear the extent to which GAI will affect future scholarship outcomes, especially having in mind the potential for scholarly deskilling.