Before writing rules, it can help to name the course’s posture toward AI. A first-year writing class, an upper-division seminar, a methods course, and a digital humanities lab may all need different policies because they are protecting and cultivating different kinds of learning.
This sketch treats course policy as a posture rather than a universal verdict. The posture gives the syllabus a rationale. Specific rules can then follow from that rationale.
Possible posture language
This course takes a [choose one] posture toward AI:
Protected practice: AI use is limited because the course emphasizes skills students need to practice directly: reading, writing, memory, analysis, or interpretation.
Supported practice: AI may be used for limited support, but students must still produce visible evidence of their own thinking, evidence, and revision.
Critical integration: AI will be used in selected assignments so students can evaluate its strengths, limits, assumptions, and effects on knowledge-making.
Workflow integration: AI is treated as a practical tool for research, coding, media, or analysis workflows, with attention to verification, bias, and documentation.
Open experimentation: Students may use AI broadly, but must document their process and remain accountable for the final work.
Naming a posture can help avoid a common policy mismatch: a syllabus says AI is permitted, but the assignments quietly depend on skills that AI can bypass. Or a syllabus bans AI, but the course also claims to teach students how to understand contemporary tools. The posture makes that tension visible.
It also gives departments a better way to compare policies. Instead of asking everyone to adopt the same rule, faculty can ask whether a course’s posture fits its level, discipline, and learning goals.
Posture is not enough
A course posture explains the logic of the policy, but students still need concrete rules. The posture should introduce assignment-level permissions, not replace them.
Some courses may need mixed postures. A course might use protected practice for weekly reading responses, critical integration for one AI analysis unit, and open experimentation for a final project. That is not inconsistency if the reason is explained.
I would put the posture near the beginning of the syllabus policy, before the rules. Students are more likely to accept constraints when they understand what the constraints are protecting. I would also revisit the posture midway through the course and ask whether the actual assignments matched the policy’s stated philosophy.