Explainable AI (XAI) techniques help non-technical users understand model predictions.
- True
- False
Answer: True
XAI methods (LIME, SHAP, attention visualization) provide interpretable explanations for AI decisions. Critical for trust, debugging, regulatory compliance, and user acceptance in high-stakes applications.