<p>Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered model-agnostic Shapley Additive Explanations (SHAP) techniques such as summary plots and force plots (primary layer of explainability) and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.</p><p>Perfect for engineers researchers and policymakers it turns complex predictions into practical solutions for a sustainable future.</p>