Submitter: Leon Furze, Deakin University —————————————————— The experiment: At the end of 2022 I left the classroom after fifteen years in secondary education to pursue consultancy and my PhD studies. Originally, the intent was to consult around literacy, reading and …
Submitter: Cindy Tekobbe, U of Illinois, Chicago —————————————————— The experiment: As a demonstration with and activity in critical AI literacy and traditional literacy practices, I compared a storytelling prompt, given by a Facebook user to ChatGPT-4 on March 28, 2023, …
Critical AI and Indigenous Storytelling: Asking Purposeful Questions Read more »
Submitter: Jentery Sayers, U of Victoria; Vee, Laquintano, and Schnitzler; eds. —————————————————— The experiment: I wrote a low-tech, tool-agnostic, small-stakes assignment that prompted students to attend to issues of power and governance in artificial intelligence (AI), with an emphasis on …
Professor Bot: An Exercise in Algorithmic Accountability Read more »
Submitter: Mark Marino, U of Southern California, and Jeremy Douglass, U of California, Santa Barbara —————————————————— The experiment: LLMs follow models, including prompts. That means a person entering a prompt is also modeling the way they want the LLM to …
Submitter: Christopher D. Jimenez, Stetson U —————————————————— The experiment: Prior to the proliferation of ChatGPT, I introduced two sets of English majors to GPT-3 via OpenAI’s Playground and guided them through in-class activities that explored the model’s capacity to represent …
Teaching Social Identity and Cultural Bias Using AI Text Generation Read more »
Submitter: John J Silvestro, Slippery Rock U —————————————————— The experiment: I taught a lesson to help students grasp how Large Language Models (LLMs) operate and the role that the data they are developed around plays in their outputs. Specifically, I …
Trying to Stack Critical Literacies to Better Understand LLMs Read more »
Submitter: Anna Mills, Cañada C —————————————————— The experiment: As an exercise in critical AI literacy and information literacy, we probed Google search autopredict for bias. The exercise served as a bridge between previous discussions of large language models such as …