Example Concept: Organizations should implement bias detection tools, such as fairness dashboards, to continuously monitor AI models for disparate impact across different demographic groups. By regularly auditing model outputs and retraining models with diverse datasets, they can reduce bias and improve fairness. Additionally, adopting frameworks like the NIST AI Risk Management Framework helps in establishing governance practices that prioritize ethical AI deployment.