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 for non-commercial purposes under CC BY-NC-SA 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.