||This is a flexible educational module that simultaneously teaches students about AI techniques and Found Poetry techniques. It asks students to reflect on both the nature of authorship in human-AI creative interaction, and the effect of AI on humans' creative process. It also introduces a conversation about the ethics of AI enterring the art realm. The module can be used as either an outreach or in-class activity, or as a traditional homework assignment.
||Markov Chains, Human-AI Interaction, AI and Society
||Poetry undergraduates (although see Variants)
||Introductory 30 minute activity (although see Variants)
||The activity achieves multidisciplinary LOs and can be easily modified for different audiences and settings.
||The efficacy of the activity in achieving LOs has not been formally statistically verified.
||Coding is done in Python 3 and can be performed in a web browser without any software installation.
||We include guidelines for tailoring this activity to both K-12 students, CS undergraduates, Poetry undergraduates, and for deploying the activity as an asynchronous assignment rather than synchronous learning activity. Elaboration on tailoring the assignment is included in the Instructor Guide below.