Example Concept: Organizations should conduct regular bias audits using fairness metrics and tools like fairness dashboards to identify and mitigate biases in their models. They should also implement governance frameworks, such as the NIST AI Risk Management Framework, to ensure ongoing compliance and accountability. Transparency can be enhanced through model cards that document the model's purpose, limitations, and performance across different demographic groups.