Finding 7619Emerging EvidenceValidation V0
Researchers introduce S.A.F.E. metricsSustainability, Accuracy, Fairness, and Explainabilityto evaluate AI trustworthiness, combining Lorenz curve statistics with Shapley value explainability, innovatively balancing transparency and robustness in model performance assessments with excellence.
75%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting75% linkage confidence
Researchers introduce S.A.F.E. metricsSustainability, Accuracy, Fairness, and Explainabilityto evaluate AI trustworthiness, combining Lorenz curve statistics with Shapley value explainability, innovatively balancing transparency and robustness in model performance assessments with excellence.
key_findings bullet 2 · key_findings
Inspect source: Sustainable artificial intelligence in finance: impact of ESG factors →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.