Explainable AI (XAI) refers to a set of processes and methods that allow human users to comprehend and trust the results and output created by machine learning algorithms. In the context of catalysis, XAI helps in understanding how AI models predict and optimize catalytic processes. This is crucial for developing new catalysts and improving existing ones.