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Which principle ensures AI systems are robust against adversarial attacks and errors?
- Fairness
- Robustness
- Transparency
- Privacy
Answer: Robustness
Robustness requires AI systems to perform reliably under normal conditions, edge cases, and adversarial inputs. Techniques: adversarial training, uncertainty quantification, fallback mechanisms. Critical for safety-critical AI applications.