Example Concept: Organizations must adopt a governance framework that includes regular audits of AI systems for bias, transparency, and accountability. This can involve using tools like fairness dashboards to monitor and report on the system's performance, ensuring that decisions made by AI are explainable and align with ethical guidelines. Additionally, organizations should engage with stakeholders to understand the societal impact of AI decisions and implement feedback mechanisms for continuous improvement.