In chemistry, a visual approach to XAI involves visualizing atomic contributions to specific properties predicted by a model . Figure illustrates the process of generating explainability and overlaying a molecular structure with the information gained. Some atoms are highlighted, indicating that the model considers them important, which means that these atoms contribute more to the prediction than others. Such XAI visualizations can facilitate both the inclusion of domain experts in the development cycle and interaction with other experts and non-experts alike, for instance, when models are to be explained to regulatory agencies or when aiming to build trust in the results.