Campus AI Framework / Pillar 4 — Risk
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The operating model

Two instruments, applied to the risk in every domain

The NIST AI Risk Management Framework defines the outcomes; its companion Playbook turns each one into concrete suggested actions and documentation. Together they are applied to the specific AI risks in each of the nine domains of the Campus AI Framework.

Why this matters You don't have to invent a standard or defend a homegrown one. A recognized, publicly documented method is easier to explain to a board or auditor, and gives you a consistent basis to point to if a decision is challenged.
01 · The framework
NIST AI Risk Management Framework

A widely recognized framework for AI risk. Its four functions define the outcomes an institution must reach across the AI lifecycle — the culture, context, assessment, and treatment of risk.

Govern Map Measure Manage
NIST AI 100-1 · 7 trustworthy characteristics ↗
02 · The playbook
NIST AI RMF Playbook

The companion Playbook translates every outcome into suggested actions, transparency & documentation questions, and references — the how-to for achieving the framework's outcomes.

Suggested actions Documentation References
Open the Playbook ↗
03 · The application
The nine domains' risks

Playbook and method meet the ground truth — the specific AI risks in each domain, governed in proportion to each system's stakes through the three risk tiers.

9 domains 3 tiers
Explore the nine domains →
NIST AI RMF + NIST RMF Playbook → AI risk, governed across nine domains
← First principles
The method →