Question

True or false: a blind attribute model protects group fairness by not including group membership in predictions

A: True
B: False

Answer 1

The statement is false. A blind attribute model does not guarantee group fairness.

Step-by-step explanation:

The statement is false. A blind attribute model refers to a machine learning algorithm that does not include group membership information in its predictions in order to protect group fairness. However, this does not guarantee that group fairness will be achieved. Even without including group membership, other attributes in the data can still be correlated with group membership, leading to biased predictions and unfair outcomes.