Explainable AI is important in catalysis for several reasons: 1. Transparency: It provides transparency in the decision-making process of AI models. 2. Trust: Enhances trust among scientists and engineers by explaining how AI reaches certain conclusions. 3. Optimization: Helps in the optimization of catalytic processes by identifying key factors and interactions. 4. Innovation: Facilitates the discovery of new catalysts by providing insights into the structure-activity relationships.
