voiage.methods.explainability_transparency.value_of_explainability_transparency

value_of_explainability_transparency

value_of_explainability_transparency([positional or keyword] predictive_utilities: np.ndarray | list[float] = None, [positional or keyword] explanation_quality: np.ndarray | list[float] = None, [positional or keyword] transparency_evidence: np.ndarray | list[float] = None, [positional or keyword] trust_scores: np.ndarray | list[float] = None, [positional or keyword] governance_impacts: np.ndarray | list[float] = None, [positional or keyword] audit_costs: np.ndarray | list[float] = None, [keyword-only] adoption_threshold: float = 0.5, [keyword-only] transparency_weight: float = 0.5) -> ExplainabilityTransparencyResult

Estimate decision value from interpretable, transparent model evidence.

Each row is a candidate model or governance scenario. Adoption is based on the mean of explanation quality, transparency evidence, and trust. The value separates predictive utility from transparency-driven adoption and governance value. The method remains fixture-backed pending external model validation, open-data provenance, and cross-language parity.

Parameters:

• predictive_utilities np.ndarray | list[float]
• explanation_quality np.ndarray | list[float]
• transparency_evidence np.ndarray | list[float]
• trust_scores np.ndarray | list[float]
• governance_impacts np.ndarray | list[float]
• audit_costs np.ndarray | list[float]
• adoption_threshold float (default: 0.5)
• transparency_weight float (default: 0.5)

Returns: ExplainabilityTransparencyResult