Library

Drawing from a need for ethical, explainable implementations of this technology in courses and coursework and supported by an OCHE MUS Teaching Scholars award, two faculty librarians brought together a group of 8 additional faculty from a diverse range of departments: Library and Information Science, English, Industrial Engineering, Nursing, Mathematical Sciences, Precision Agriculture, Food Systems/Nutrition/Kinesiology, History & Philosophy, and Business. An instructional designer also joined in an advisory capacity. Our cohort met for three in-person sessions with the goal of creating a collection of assignment materials that situate generative AI use within frameworks of authority, credibility, and responsible research. This collection brings together assignment templates and model cards for the generative AI technology utilized. Model cards are concise summaries of machine learning models, documenting and promoting AI exploration. By disclosing technical details and potential biases, they impower informed discovery and responsible use.1 Adapting model cards as a framework for assignment templates was foundational for responsible AI implementation within the assignments designed by each faculty member for their classrooms. The resulting templates are concrete yet adaptable tools, each with a Creative Commons license, allowing faculty from any institution to utilize these tools in their unique environments.