AAISM · Question #149
An organization is commissioning a third-party AI system using sensitive data. Which metric is MOST important to consider?
The correct answer is C. Accuracy thresholds. When sensitive data drives AI decisions-such as medical diagnoses, financial risk scoring, or fraud detection-accuracy thresholds are paramount because incorrect outputs can cause direct harm to individuals or the organization. An inaccurate model with fast response times or…
Question
An organization is commissioning a third-party AI system using sensitive data. Which metric is MOST important to consider?
Options
- AAccessibility rating
- BModel response time
- CAccuracy thresholds
- DService availability
How the community answered
(31 responses)- A6% (2)
- B16% (5)
- C74% (23)
- D3% (1)
Explanation
When sensitive data drives AI decisions-such as medical diagnoses, financial risk scoring, or fraud detection-accuracy thresholds are paramount because incorrect outputs can cause direct harm to individuals or the organization. An inaccurate model with fast response times or high availability is still dangerous. Accuracy thresholds define the minimum acceptable performance bar before the system is trusted with sensitive decisions. Options A, B, and D (accessibility, response time, service availability) are operational metrics that matter but are secondary to ensuring the model is actually correct when handling sensitive data.
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