A hospital deploys an AI system that recommends a likely diagnosis to physicians based on patient scans and lab results. The compliance team requires that physicians can see which factors drove each recommendation, and also requires that the patient scan data used by the system is protected from unauthorized access. Which two Microsoft responsible AI principles are being addressed by these two requirements? (Select TWO.)

The correct principles are transparency and privacy and security. The requirement that physicians can see which factors drove each recommendation is about making the system's decision-making understandable to the people relying on it, which is the transparency principle, since it calls for openness about how and why an intelligent system reaches its outputs. The requirement that patient scan data is protected from unauthorized access is about safeguarding sensitive information, which is the privacy and security principle, since it addresses protecting data and system integrity from misuse or breach. The inclusiveness principle is incorrect because it concerns designing and building systems that engage people of varying abilities and backgrounds, which is not what either requirement in the scenario describes. The reliability and safety principle is incorrect because it concerns whether the system performs consistently and correctly under expected and unusual conditions, such as handling edge cases without failure, and neither requirement here is about the system's operational robustness; one is about explaining outputs and the other is about protecting data access. Matching each compliance requirement to its underlying goal, explainability to transparency and data protection to privacy and security, is what separates the two correct principles from the two distractors that describe unrelated concerns.