Correct Answer: Accountability
Accountability means that the people who design and deploy AI systems must be accountable for how their systems operate. By clearly defining limitations and establishing that a hum...
Correct Answer
Accountability
Why This Answer Is Correct
Accountability means that the people who design and deploy AI systems must be accountable for how their systems operate. By clearly defining limitations and establishing that a human must make the final decision, the team ensures human accountability rather than blindly trusting the 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?
An autonomous vehicle's AI system must be designed so that if the camera sensors fail due to heavy mud, the car safely pulls over and stops instead of making unpredictable steering decisions. Which Responsible AI principle does this address?
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?