Which of the following BEST represents a combination of quantitative and qualitative metrics that can be used to comprehensively evaluate AI transparency?

The correct answer is D. AI ethical impact and user feedback metrics. The AAISM governance framework emphasizes that AI transparency cannot be evaluated using only technical statistics; it requires a combination of quantitative and qualitative metrics. The best pairing is ethical impact assessments (qualitative) with user feedback metrics (quantita

AI Security Strategy and Governance

Question

Options

AAI system availability and downtime metrics
BAI model complexity and accuracy metrics
CAI explainability reports and bias metrics
DAI ethical impact and user feedback metrics

How the community answered

(30 responses)

A
7% (2)
B
13% (4)
C
3% (1)
D
77% (23)

Explanation

The AAISM governance framework emphasizes that AI transparency cannot be evaluated using only technical statistics; it requires a combination of quantitative and qualitative metrics. The best pairing is ethical impact assessments (qualitative) with user feedback metrics (quantitative and perception-based). Availability and accuracy metrics measure performance, not transparency. Explainability reports and bias metrics are useful but still technical and limited. Comprehensive evaluation of transparency requires consideration of ethical dimensions and stakeholder perspectives, which is achieved through ethical impact analysis and user feedback.

Topics

#AI Transparency#AI Ethics#Evaluation Metrics#User Feedback

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