Example Concept: Developers should utilize fairness evaluation tools and techniques, such as fairness dashboards and bias detection algorithms, to identify and mitigate biases in datasets and models. They are responsible for ensuring diverse and representative data collection, applying bias correction methods, and documenting model decisions and impacts through frameworks like model cards.