Lauren Goodlad, "Teaching Critical AI Literacies"

Since the release of ChatGPT in November 2022, classrooms and learning platforms the world over have been inundated with generative AI (gen AI) in ways that burden educators while posing serious harm to student learning and critical skills. At many institutions, the documented harms of the technology are overlooked in favor of an uncritical push for vaguely defined standards of "AI literacy" and "AI competency"-with little or no consultation with faculty or attention to the desired course objectives or learning goals. The industry-driven push to adopt "AI first and fast" disempowers faculty and students alike. Occasionally institutional decision-makers pay lip-service to harms while devoting scarce resources to "FOMO" and keeping up with Joneses.

Critical AI studies and the teaching of critical AI literacies offer a different perspective by emphasizing shared decision-making based on the expansion of knowledge, judgement, and a robust research mentality. Students and faculty learn about chatbot technologies as researchers, not as users or consumers. Institutions share knowledge and decision-making from the ground up: through discussions that speak to the goals of specific courses, disciplinary outlooks, and professional endeavors.

Lauren M. E. Goodlad, Distinguished Professor of English and Comparative Literature at Rutgers, New Brunswick; editor of the interdisciplinary journal Critical AI; and chair of the Critical AI @ Rutgers initiative, will talk about latest developments in teaching critical AI literacies. Goodlad will outline the principles of the approach and a few strategies for how colleagues and students can help each other to strengthen learning in the face of much-hyped technological change.

This workshop is a collaboration between the Department of English at Duke, the Franklin Humanities Institute, and AAUP NC's Genuine Intelligence Project. In-person attendance is encouraged, but a Zoom option is available at https://www.aaupnc.org/projects/genuine-intelligence-project.

Location & Parking: The Ahmadieh Family Lecture Hall is located at Bay 4 of the Smith Warehouse (114 S. Buchanan). Paid parking is available by Duke Blue Spot at the ungated lot at Maxwell/Buchanan. Non-Duke visitors do NOT need to create an account: click "continue as guest" and select "Smith Warehouse" as the parking location. For more information, see https://fhi.duke.edu/about/find-us