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

This survey explores the integration of surrogate modeling and Explainable AI (XAI) for complex system simulations, addressing the inherent black-box nature of these models. It aims to reconnect these complementary fields by outlining how XAI can unpack surrogate models despite engineering constraints.