Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making

“This survey examines how to build interpretable surrogate models that reduce computational costs while maintaining explainability in complex system simulations. As AI systems become decision-critical across scientific and engineering domains, understanding model behavior through explainable AI techniques is essential for trustworthy deployment and regulatory compliance.”