Example Concept: Organizations should employ fairness metrics and bias detection tools to regularly audit AI models for disparate impacts across different demographic groups. This process includes using techniques like re-weighting, adversarial debiasing, and fairness constraints to adjust models and reduce bias. Transparency tools like model cards can document these efforts, providing stakeholders with clear insights into the model's fairness and ethical considerations.