Performance & Stability
        
        How Does SHAP Differ from Other Interpretability Techniques like LIME?
        
         
        
        
          
        
        
      
        
     
        
        SHAP provides a globally consistent system audit based on game theory, while LIME offers a rapid, localized diagnostic of individual model outputs.
        
        How Does Explainable AI Address the Black Box Problem in the Context of Regulatory Audits?
        
         
        
        
          
        
        
      
        
     
        
        Explainable AI provides a verifiable audit trail by translating complex model decisions into human-readable, quantitative evidence.
        
        What Is the Role of Explainable AI Techniques like SHAP in the Scorecard Validation Process?
        
         
        
        
          
        
        
      
        
     
        
        SHAP provides a theoretically sound framework to dissect and translate complex model predictions into auditable, feature-level contributions.
        
        How Do Explainable AI Methods Enhance Trader Trust in Predictive Models?
        
         
        
        
          
        
        
      
        
     
        
        Explainable AI systematically converts algorithmic opacity into operational intelligence, building trader trust through transparent, verifiable model reasoning.

 
  
  
  
  
 