Example Concept: Developers are responsible for conducting bias audits and implementing fairness checks at various stages of model development. This includes using tools like fairness dashboards to identify potential biases, applying bias mitigation techniques such as re-weighting or re-sampling, and ensuring transparency through model documentation like model cards. These practices help ensure that AI systems are fair, transparent, and aligned with ethical standards.