Measure local-record latency under realistic offline loads | AIGP
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Measure local-record latency under realistic offline loads: What evidence should precede approval?

AIGP Understanding How to Govern AI Deployment and Use Medium

The decisive uncertainty is local offline latency, so realistic testing should measure that requirement before approval.

The question

An education administration office considers an edge model for offline student-record triage because response latency must remain below 200 milliseconds. The vendor demonstrates latency on generic text, but not on local records or the proposed fallback process. What evidence should precede approval?

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  1. Test staff satisfaction with the proposed triage interface.
    Usability matters, but satisfaction testing does not establish whether the system meets the required local latency threshold.
  2. Measure local-record latency under realistic offline loads. ✓
    This directly tests the stated latency requirement in the intended environment and reveals whether the edge model supports operational use.
  3. Accept the generic latency demonstration as sufficient evidence.
    Generic text and conditions may not represent local records, workloads, hardware, or offline operating constraints.
  4. Prioritize model accuracy using a larger hosted model.
    A larger hosted model may improve accuracy but does not resolve the stated sub-200-millisecond offline requirement.
The trap
Identify the requirement in the stem, then choose evidence measured under the same data and operating conditions.

How to remember it

The decisive uncertainty is local offline latency, so realistic testing should measure that requirement before approval.

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