These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Spearman's rank correlation coefficient (SRCC)
In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a non-parametric measure of rank correlation (statistical dependence between the rankings of two variables). It assesses how well the relationship between two variables can be described using a monotonic function.
Trustworthy AI Relevance
This metric addresses Fairness, Robustness by quantifying relevant system properties. SRCC supports Fairness by enabling evaluation of whether an AI system maintains consistent and equitable ranking outcomes, which can help detect and mitigate bias in ordinal predictions. It supports Robustness by measuring the stability of model rankings under different conditions or datasets, indicating resilience and reliability in performance.
About the metric
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