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1.2.2. Reliability and Safety
Definition: AI systems should perform reliably, safely, and consistently under both normal and unexpected conditions.
Key Concerns:
- Systems should not cause physical or psychological harm
- Predictable behavior in edge cases
- Graceful degradation when errors occur
- Appropriate human oversight for high-stakes decisions
Example Scenario: A medical diagnosis AI must not provide dangerous recommendations and should defer to human doctors in uncertain cases.
Test Pattern: Questions about preventing harm, consistent operation, or safety-critical applications → Reliability and Safety