Teaching & Learning
| Document type | NIST AI RMF Profile | Version | 1.0 |
| Profile domain | Teaching & Learning | Based on | NIST AI RMF 1.0 |
| Owner | AI Governance Committee + Provost | Approver | AI Governance Committee |
| Visibility | Restricted Internal (public summary) | Last reviewed | 2026-04-05 |
1. Profile scope & context
This profile applies to AI used in instruction, assessment, and academic support across credit and non-credit courses. It governs how teaching-facing AI services are reviewed, enabled, and used — and sets the expectations instructors build on at the course level.
2. Govern
Roles, accountability, and policy that apply to teaching-facing AI.
- Instructors set the AI policy for their own courses; the Provost owns institution-wide academic-integrity guidance.
- The AI Governance Committee approves teaching-facing services against this profile.
- Tied to the AI Principles, Acceptable Use, and Academic Integrity policies.
3. Map
Context establishment and risk identification for this setting.
- Over-reliance and erosion of skill development
- Academic-integrity and authorship ambiguity
- Accessibility of AI features for all learners
- Bias in AI-generated feedback; privacy of student work
4. Measure
How identified risks are assessed and tracked.
5. Manage
Risk treatments and ongoing monitoring.
- Course-level disclosure norms and syllabus statement templates
- Human-in-the-loop required for grades and academic decisions
- Opt-out and alternative pathways where AI use is required
- Ability to disable a feature mid-term if a risk emerges
6. Services in scope
Teaching-facing services reviewed under this profile:
- Meridian GPT (coursework use)
- Canvas AI features
- NotebookLM
- Google Workspace with Gemini (classroom use)