Appendix · Pages 63–69
Policy Language Templates
Draft language for AI use policies, academic integrity guidelines, and student-facing guidance. All templates should be reviewed by legal counsel and governance bodies, and adapted to your local context.
The Four Templates
- Template 1 · Institutional AI Use Policy Framework — purpose, scope, definitions, guiding principles (learning first, transparency, contextual flexibility, equity, continuous learning), student/faculty responsibilities, misconduct, data privacy, review schedule
- Template 2 · Course-Level AI Use Statement — syllabus language setting expectations per assessment, with an "ask before you submit" norm
- Template 3 · Student-Facing AI Use Guide — quick-reference rules, an AI Use Statement disclosure template, five rules for responsible use, and warning signs AI is hurting your learning
- Template 4 · Academic Integrity Policy Addendum — classifies AI-related misconduct by severity and empowers educational-first resolution
The Four Assessment Categories
- Category 1 · AI Not Permitted — closed assessment; submitted work entirely the student's own
- Category 2 · AI Permitted for Specified Tasks Only — e.g., grammar checking; all use disclosed
- Category 3 · AI Permitted with Full Disclosure — AI throughout the process, documented in an AI Use Statement with critical reflection
- Category 4 · AI-Integrated Assessment — AI use required; the critical engagement with the tool is what's assessed
Five Rules for Responsible Student Use
- Disclose when required — hiding AI use is dishonest even if the work is good
- Verify everything — AI produces plausible but incorrect information
- Protect privacy — never enter personal data into public AI tools
- Think critically — AI reproduces biases and cultural assumptions; evaluate, don't accept
- Keep your voice — your perspective, experience, and cultural knowledge are valuable
Developed by Chanrattnak Mong