Example Concept: Implementing model cards and using explainability tools like SHAP (Shapley Additive Explanations) or LIME (Local Interpretable Model-agnostic Explanations) can help present AI decision-making processes in a way that is accessible to non-technical users. These tools focus on highlighting key features and their impact on outcomes, allowing users to understand the rationale behind AI predictions without delving into complex algorithms.