Example Concept: Developers are responsible for conducting bias audits using tools like fairness dashboards to identify and mitigate bias in AI models. They must ensure that training data is representative and diverse, apply fairness-aware algorithms, and continuously monitor models for biased outcomes. Additionally, developers should document the steps taken to address bias in model cards to maintain transparency and accountability.