Example Concept: Developers and data scientists are responsible for implementing technical bias mitigation techniques, such as fairness-aware algorithms and bias detection tools. Product managers and organizational leaders must establish governance frameworks and ethical guidelines to oversee the deployment and monitoring of AI systems. This includes setting up regular audits and reviews to ensure compliance with ethical standards and legal requirements.