Intermediate
Artificial Intelligence & Machine Learning
Q65 / 100
What is model explainability (XAI)?
Correct! Well done.
Incorrect.
The correct answer is B) Techniques making ML model predictions interpretable and understandable to humans, crucial for trust, debugging, and regulatory compliance
B
Correct Answer
Techniques making ML model predictions interpretable and understandable to humans, crucial for trust, debugging, and regulatory compliance
Explanation
LIME (local linear approximations), SHAP (Shapley values for feature attribution), attention visualization, saliency maps. Required by GDPR (right to explanation), healthcare, and financial regulations.
Progress
65/100