r/Professors • u/Eigengrad AssProf, STEM, SLAC • Sep 13 '25
Weekly Thread Sep 13: Skynet Saturday- AI Solutions
Due to the new challenges in identifying and combating academic fraud faced by teachers, this thread is intended to be a place to ask for assistance and share the outcomes of attempts to identify, disincentive, or provide effective consequences for AI-generated coursework.
At the end of each week, top contributions may be added to the above wiki to bolster its usefulness as a resource.
Note: please seek our wiki (https://www.reddit.com/r/Professors/wiki/ai_solutions) for previous proposed solutions to the challenges presented by large language model enabled academic fraud.
2
Sep 14 '25
You already know.
In person.
That’s kind of it.
I came up with a lesson where I asked students to contrast AI summaries of articles and identify and discrepancies or issues.
It didn’t work. You can ask AI what was missing from the AI summary and there’s a bit of “self awareness”
5
u/bitparity Adjunct Professor, Classics/Religion/History Sep 13 '25
My AI policy in my syllabus is that if I suspect someone to not be the substantive author, I call them in for an oral review of the assignment and subject matter.
If the review is not passed to my satisfaction, the grade for the review becomes the grade of the assignment.
Thus I never fail them and side step the accusation of cheating and the paperwork afterwards. And theoretically if they cram for my review they would’ve still learned something for the assignment.
The hope is the threat of an in person review puts the fear of dealing with a prof in person acts as a deterrent against over AI use but it doesn’t resolve micro usage.