Generative AI is reshaping scholarly communications at a pace that surpasses existing policy frameworks. Open repositories face a double-edged sword: leveraging AI to enhance discovery, accessibility, and metadata creation or preserving scholarly works that may lack attribution, validity, and originality or have uncertain intellectual property status. Based on a case study at Appalachian State University that involved the implementation of new AI-related policy elements to the university's institutional repository General Deposit Agreement, this presentation proposes a practical framework for adapting open repository agreements to address the legal and ethical risks introduced by generative AI. This presentation will also discuss model language, implementation strategy, and outreach considerations to the university community when updating agreements to reflect policy changes that address the changing nature of generative AI in scholarly publishing and scholarly communications.
Agnes Gambill West (Mon,) studied this question.