Example Concept: A well-designed dashboard should include visualizations that clearly represent model predictions and their confidence intervals, performance metrics such as accuracy or F1 score, and explanations of the model's decision-making process. Incorporating features like data provenance, version control, and interpretability tools (e.g., SHAP values) can further build trust by showing how inputs affect outputs and ensuring stakeholders understand the model's reliability.