Example Concept: A fairness dashboard typically includes features such as bias detection metrics (e.g., disparate impact, equal opportunity), visualization tools for comparing model performance across demographic groups, and options for adjusting model parameters to mitigate identified biases. These dashboards often integrate with model development platforms and can be customized to focus on specific fairness criteria relevant to your application.