Greetings Wisal.
I’d say this is happening at nearly all organizations, its rather challenging to even track, you might even need AI to do it- many examples in this quick search. I also respect the work of Lance Eaton in general and specifically building an open collection of AI Syllabus policies from classes on over 50 subjects.
I could spend days finding more examples.
If you mean “Open Education Global” the organization, then no- we are way to small a team to be tackling such a broad landscape. Our role is to catalyze, connect, and bring together efforts in this area around the world.
But we are keenly interested in hearing how organizations are thinking about this distinction. I’d say one important avenue is listening to what students are saying about they ways they are using GenAI and their perspectives on what they anticipate in their own future. It may be misguided to focus on the “cheating” side.
That’s we are bringing the communty November 19 in an OER Under the Hood webinar with students and staff from the University of Leeds who are running ongoing efforts, led by students, to collect these in the OER Learning with AI: A student edited collection. Details on this webinar here
I was also impressed with the voices of students shared in this episode of the Learning Curve podcast on How Do Students Feel About Their AI Use? It’s Complicated where host Jeff Young visited a university campus to record students describing their actual use of GenAI- it’s a far cry from shortcutting assignments.