Campus AI AgentsA field guide 10 / 14
10

Evaluating AI agents

Success is measured beyond cost or efficiency, in three layers.

Mission & equity

  • Student outcomes
  • Equity gaps closed or widened
  • Belonging indicators
  • Human satisfaction

Technical

  • Task completion
  • Accuracy and hallucination rate
  • Latency
  • Escalation rate

Process & trust

  • Adoption
  • Override frequency
  • Audit findings
  • Time to detect issues
Required: explicit sunset criteria for every agent, and equity-impact reporting for every high-stakes agent. Start with the pilot and evaluation plan and the equity monitoring checklist.
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