Approval lacks risk-tier differentiation | AIGP
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Approval lacks risk-tier differentiation: What does the evidence most directly indicate?

AIGP Understanding the Foundations of AI Governance Hard

The evidence indicates that approval should differentiate use cases by risk and operational impact.

The question

A retailer’s demand-planning register contains complete entries for approved models, including owners and suppliers. However, a low-impact forecasting tool receives the same approval pathway as a model that reallocates scarce inventory during disruptions, and records show no risk-based prioritization. What does the evidence most directly indicate?

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  1. Approval lacks risk-tier differentiation. ✓
    Equivalent pathways for materially different impacts, combined with absent prioritization, support a missing risk-tiered approval structure.
  2. The inventory lacks supplier information.
    The register includes suppliers, so the evidence does not support a supplier-information deficiency as the primary finding.
  3. Forecasting accuracy is sufficient for both models.
    Approval-path evidence says nothing about whether either model meets accuracy expectations for its intended use.
  4. The disruption model necessarily requires decommissioning.
    Higher operational impact may require stronger treatment, but the evidence does not establish that decommissioning is appropriate.
The trap
Do not mistake complete registration for risk-based prioritization; compare use impacts and approval treatment.

How to remember it

The evidence indicates that approval should differentiate use cases by risk and operational impact.

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