What is the difference between model accuracy and fairness in ML?

A Fairness is just another name for accuracy B Accuracy measures overall prediction correctness; fairness concerns whether the model performs equally across demographic groups and avoids discriminatory outcomes C Fairness only matters for classification models D Accuracy implies fairness for sufficiently large datasets