Measure (MS)

Employ quantitative and qualitative methods to analyze and monitor AI risks

Category Assessment
Current maturity vs. target maturity for each category
CodeCategoryCurrent vs TargetCurrentTargetGap
MS-1

Appropriate Metrics and Methods

Appropriate methods and metrics are identified and applied for measuring AI risks and trustworthiness characteristics

Current
Target
2.33.41.1
MS-2

AI Systems Assessment

AI systems are evaluated for trustworthy characteristics related to validity, reliability, fairness, safety, security and resilience

Current
Target
2.33.41.1
MS-3

Continuous Monitoring

Mechanisms for tracking identified AI risks over time are in place

Current
Target
1.83.21.4
MS-4

Measurement Reporting

Measurement results regarding AI system trustworthiness are informed by and reported alongside contextual information

Current
Target
2.63.71.1
Gap Analysis
Categories sorted by largest maturity gap (target - current)
MS-3Continuous Monitoring
Gap: 1.4
MS-1Appropriate Metrics and Methods
Gap: 1.1
MS-2AI Systems Assessment
Gap: 1.1
MS-4Measurement Reporting
Gap: 1.1