What is common, and what is still emerging

Most institutions publish guidance and tool catalogs. Fewer connect those public artifacts to internal profiles, system cards, and publication controls.

Common at peer institutions

  • AI principles and high-level governance guidance
  • Acceptable use and academic integrity guidance
  • AI tool catalogs and comparison pages, including Microsoft and Google suite guidance
  • Vendor model-card links or vendor documentation for major suite providers and model vendors

Less common or emerging

  • Formal AI RMF profiles by domain
  • Reusable service-card templates with governance fields
  • System cards for university-run AI deployments
  • Unified visibility rules across all AI artifacts

What this means

The gap between common and emerging is exactly where this framework does its work.

Not speculative. The framework is built from documentation patterns that already exist in pieces across higher education, then assembled into a more complete institutional model — so adopting it is more about connecting existing practice than inventing new artifacts.