AI Workloads & Responsible AI — AI-900 Practice Question
A representative Microsoft Azure AI Fundamentals (AI-900) exam question on AI Workloads & Responsible AI. Work through it below, then read why each option is right or wrong.
Short answer
The correct answer is B. Fairness.
Fairness is the responsible AI principle being violated. Fairness requires that AI systems treat all people equitably and not discriminate based on demographic characteristics like race, gender, or age. When a model systematically ranks certain demographic groups lower despite similar qualifications, it demonstrates bias that violates fairness principles. Transparency (A) relates to explainability of decisions. Privacy and Security (C) relates to data protection. Inclusiveness (D) relates to designing for diverse abilities and needs.
The Question
A company is developing an AI system to screen job applicants. During testing, they discover the model consistently ranks candidates from certain demographic groups lower than others with similar qualifications. Which principle of responsible AI is being violated?
Why B is correct
Fairness is the responsible AI principle being violated. Fairness requires that AI systems treat all people equitably and not discriminate based on demographic characteristics like race, gender, or age. When a model systematically ranks certain demographic groups lower despite similar qualifications, it demonstrates bias that violates fairness principles. Transparency (A) relates to explainability of decisions. Privacy and Security (C) relates to data protection. Inclusiveness (D) relates to designing for diverse abilities and needs.
Why the other options are wrong
Option A does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Option C does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Option D does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Key idea: AI Workloads & Responsible AI
Fairness is the responsible AI principle being violated. Fairness requires that AI systems treat all people equitably and not discriminate based on demographic characteristics like race, gender, or age. When a model systematically ranks certain demographic groups lower despite similar qualifications, it demonstrates bias that violates fairness principles. Transparency (A) relates to explainability of decisions. Privacy and Security (C) relates to data protection. Inclusiveness (D) relates to designing for diverse abilities and needs. On the AI-900 exam, questions in the "AI Workloads and Considerations" domain test whether you can map a scenario's constraints to the right choice. Read the requirement carefully, eliminate options that violate any single constraint, and pick the one that satisfies all of them with the least operational overhead.
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