I recently gave a talk on layering multiple approaches to AI and academic integrity, starting with focusing on intrinsic motivation.
Guiding Students on Appropriate AI Use: Collaborative Approaches
Slides: https://link.annarmills.com/guiding

Here's the TLDR:
Writing and reading are more important than ever; they help us
improve our thinking
interact with AI
Yes to teaching with writing:
Frame the value of writing
Making writing assignments motivating and social
No to AI offloading: set up layers of guardrails to discourage misuse. Consider
In-class writing
Video and audio assignments where students talk about their writing
Process assignmentsProcess tracking (such as with ProcessFeedback.org)
Detection, used cautiously and not as sole evidence
I draw on or cite Leon Furze Ethan MollickKatie (Kathryn) ConradLance Eaton, Ph.D.Christopher Ostro among others…
Thanks to Michelle Beissel Heath for inviting me to give a talk for the University of Nebraska at Kearney English Department.


For a comprehensive explanation of the flaws of AI detectors and why they have no place in education, see
https://tinyurl.com/aidetectorsineducation