AI Detection Tools

These detectors result in both false negatives and false positives, which can result in tagging a student paper as written by AI when it wasn't.

AI-detection tools are problematic because they:

Frequently mistake things that are human-written as AI-written
Disproportionately misidentify writing by multilingual learners as AI-written
Are not transparent about how they work
Do not provide sufficient evidence on their own to conclude that a student has violated course policies

Instead of AI-detection tools, you can have students share their work/thinking processes and how they used AI.

Integrate students’ use of AI, e.g., as a reviewer, editor, assistant, or tutor
Check students’ understanding of acknowledgment/citation/disclosure practices
Facilitate discussion of the pros and cons of AI for learning
Implement best practices in assignment instructions, e.g., explain the purpose, why it matters, what to do, how to do it, which resources to use, with whom to work, and the evaluation criteria
Shift to more frequent low-stakes assessment in-class / live
If you choose to use AI detection, include a statement in the syllabus that informs students. Do this before any assessment or grading begins. If possible, include a link to the privacy policy of the tool(s) you will use.