Correct Answer: Reliability and safety
Reliability and safety ensure that AI systems perform as originally intended and respond safely to unanticipated situations or failures. Designing a car to safely pull over when se...
Correct Answer
Reliability and safety
Why This Answer Is Correct
Reliability and safety ensure that AI systems perform as originally intended and respond safely to unanticipated situations or failures. Designing a car to safely pull over when sensors fail is a prime example of building reliable and safe AI.
This question evaluates your knowledge of Responsible AI — a core concept tested in Microsoft Certified: Azure AI Fundamentals (AI-900). Understanding Responsible AI is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
A bank uses an AI model to approve or deny loan applications. However, an audit reveals that the model approves applications for men at a significantly higher rate than for women with identical financial histories. Which of Microsoft's guiding principles for Responsible AI has been violated?
You are designing an AI system that provides medical diagnoses. The system displays not only the predicted diagnosis but also a visual highlight of the exact area on the X-ray that led to its conclusion. Which principle of Responsible AI does this feature primarily support?
A software team builds an AI app that predicts a user's health risks. They decide to publish an explicit document explaining the limitations of the model, stating that it should only be used as a supplementary tool and that humans are ultimately responsible for medical decisions. Which Responsible AI principle does this satisfy?
A voice assistant application is being developed. The engineering team ensures that the application responds appropriately to users with speech impediments, heavy regional accents, and non-native speakers. Which Responsible AI principle is being prioritized?