Kizspy | Question: 43 (Choose 1 answer)
In a real-world scenario, what is a challenging aspect of addressing fairness concerns in machine learning models?
A. Fairness concerns are easily resolved during the model development phase.
B. Balancing fairness with other performance metrics such as accuracy and precision.
C. Assuming that fairness is an isolated concern independent of accuracy.
D. Fairness analysis is unnecessary if the model is accurate and performs well.
