Campus AI Framework
A practitioner's playbook for AI strategy and governance in higher education. Concept and content by Joe Sabado. Free to use and adapt under CC BY 4.0.
This is an interactive application and works best with JavaScript enabled. Below is a text outline of what it contains.
The model
Eight institutional pillars, grouped into Governance (Mission & Vision, AI Principles, AI Policies & Guidelines, Governance/Risk/Compliance & Data Governance), Enablement (Engagement & Collaboration, Roles & Responsibilities), and Capabilities (Campus Readiness, Implementation & Operations); four application domains (Teaching & Learning, Research & Innovation, Operations & Infrastructure, Student & Community Engagement); and the AI Strategic Compass for prioritizing initiatives by risk and impact.
What you can do here
- Find your starting point — a maturity triage (Nascent / Emerging / Established).
- The first 90 days — a stage-aware action plan.
- The eight pillars — concept, signals, and concrete practices for each.
- Use cases & case studies — the framework applied to real campus AI initiatives.
- How AI enters campus — the six pathways AI arrives and the types of AI to govern.
- Maturity Assessment, Governance Guide, AI Registry — assess where you stand.
- Strategic Compass, Tool Evaluation Matrix, Playbook, Adoption pathways, Run it — decide and operate.
- Standards alignment — how the framework maps to NIST AI RMF, ISO/IEC 42001, the EU AI Act, OECD, UNESCO, and EDUCAUSE.
Learn more and contact the author at campusaiexchange.com.
Browse the framework as text: The eight pillars · Find your starting point · Strategic Compass · Maturity Assessment · How AI enters campus · Standards alignment.