Example Concept: Organizations should conduct regular bias audits and implement fairness dashboards to monitor and mitigate bias in AI models. This involves using fairness metrics to evaluate model performance across different demographic groups, ensuring that no group is disproportionately disadvantaged by the AI system. Additionally, organizations should establish governance processes to oversee AI ethics and compliance, including stakeholder engagement and transparency reporting.