In Autumn 2025, the presenters delivered a three-credit General Education course that resulted in the publication of a semester-long open pedagogy project. Student authors investigated information inequalities they identified as most urgent, examining how information is created, accessed, controlled, and shared within diverse social and political contexts. As part of the scaffolding for their chapters, students completed two artificial intelligence assignments that teach them a range of skills: learn about how generative artificial intelligence is part of a long history of machine learning, how prompt generation works and replicates human bias, gain familiarity with multiple forms of production-related AI, how to create an effective prompt, and knowledge of how to cite AI use in their work. In this presentation, the presenters will cover an overview of our project, introduce the two assignments, and share suggestions for how others can implement assignments like these into their open pedagogy projects. Larson and Primeau will also provide best practices for talking with students transparently and pragmatically about generative AI. Attendees will also leave with access to the assignment to remix at their institutions and access to the final projects from this course.
