Resource
Campus AI Development
Campus AI Development is a free web guide on building software with AI in higher education, written from the institution's side of the question: what a campus needs to know about the tools its own people build. It accompanies the Campus AI Framework, which decides whether an initiative proceeds, and covers how that initiative then gets built.
What you can do with it
A four-step path runs from whether the work is worth building, through the review route it needs, to build-buy-reuse economics, to six questions that pick one of five approaches and that approach's minimum controls; where the answers disagree, the strictest one wins. The approaches form a spectrum from Vibe Coding to multi-agent work under human gates and audit trails, compared on who reads the code, what counts as verification, which data the work may touch, and what it costs to own. A reference section adds low-code and enterprise platforms, builder scenarios, case studies, hypothetical discussion cases, and a thirteen-question AI Governance checklist.
Who it is for
Central and research IT that supplies platforms and review; governance offices covering security, privacy, accessibility, data governance, legal and procurement; CIOs, provosts and deans deciding what to fund; and the staff, faculty, researchers and students who build their own tools.
Notes and caveats
It calls itself an independent personal project, not institutional policy or legal advice; named institutions appear because they published accounts of their practice, not as endorsements, and the discussion cases are composites. Its legal examples are American (FERPA, ADA Title II, GLBA) and dated where they appear, though it argues the path, the questions, the data levels and the approaches do not depend on them. Its evidence page links every study, setting gains on one bounded task beside slowdowns for experienced maintainers on their own code, and it admits that trial data covers code suggestion rather than spec-driven or multi-agent work, so the case for more structure rests on practice and compliance logic. No reuse license is stated. Sibling sites campusdatagov.com and campusairegistry.com carry the data governance and agent registry parts, so this is a good entry to Educational AI Policy work but not a substitute for it.
Connected Concepts
Connected Resources
- Campus AI FrameworkA higher-education operating model for AI strategy and governance: eight institutional pillars, four application domains, and a Strategic Compass for choosing initiatives, with a diagram mapping its companion sites.