A hospital is deploying an AI system that recommends which patients should be prioritized for a limited number of ICU beds during a surge in admissions. The clinical governance board requires that the system be validated to perform consistently across patients of different ages, ethnicities, and insurance types, and that it undergo extensive testing under simulated surge conditions before any patient's care is affected by its recommendations. Which two responsible AI principles is the board applying with these requirements? (Select TWO.)

The correct principles are fairness and reliability and safety. Requiring the system to perform consistently across patients of different ages, ethnicities, and insurance types is the fairness requirement, guarding against the model systematically disadvantaging any group. Requiring extensive testing under simulated surge conditions before the system affects real patient care is the reliability and safety requirement, guarding against inadequately validated models making harmful recommendations. The privacy and security principle is incorrect because privacy and security concern protecting patient data from unauthorized access or misuse, and the scenario describes validation and consistency requirements, not data protection controls. The accountability principle is incorrect because accountability concerns designating specific people or teams responsible for the system's outcomes, and the board's requirements here describe technical validation criteria rather than assignment of ownership. Both correct principles address distinct risks that triage systems pose: unfair systems could deprioritize patients based on who they are rather than their clinical need, while unreliable systems could make dangerous errors regardless of who they are evaluating, which is why the governance board addresses both before the system touches patient care.