Framing Your Approach to AI Instruction: Navigating Competing Interests and Shared Goals in Academic Support

Abstract

Academic institutions are racing to stay relevant in the development of artificial intelligence
(AI) and other emerging technologies. Librarians, in particular, are being
asked to quickly upskill in order to lead workshops, offer one-shot instruction, or develop
an online module.1 Meanwhile, institutions vary widely in their stages of AI adoption,
creating uneven expectations and support structures. All of these factors can leave librarians
feeling unsure of where to start with AI instruction or their role in AI adoption. This
challenge is