Interpretability analysis methods, such as LIME and SHAP, are widely employed to explain the predictions of artificial … intelligence models; however, they primarily function as post hoc tools and do not directly quantify the intrinsic interpretability … currently no standardized framework for evaluating interpretability as an inherent property of AI models. In this study, we …

interpretability and access significantly shape managerial trust, learning, and decision autonomy across supply chain tiers …. Conclusions: Sustainable and inclusive AI adoption in logistics requires balancing operational efficiency with interpretability …

this gap by providing interpretability, thereby increasing trust between policy-makers, clinicians, administrators and …

both in predictive accuracy and interpretability, yielding policy-relevant insights on vulnerable groups affected by labor …

both in predictive accuracy and interpretability, yielding policy-relevant insights on vulnerable groups affected by labor …

mining. More concretely, our main objective is to improve the interpretability of association rules to make them more …