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Which principle of Responsible AI ensures that AI system decisions can be understood and explained to users?
- Fairness
- Accountability
- Transparency
- Privacy
Answer: Transparency
Transparency (Explainable AI/XAI) ensures AI decisions are interpretable by humans, enabling trust, debugging, and regulatory compliance. Techniques: LIME, SHAP, attention visualization. Critical in high-stakes domains: healthcare diagnosis, loan approvals, criminal justice. Balances model complexity with interpretability needs.