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AIF-C01 Guidelines for Responsible AI Practice Question

A media company uses Amazon Transcribe for automatic speech recognition. They discover the model has higher error rates for non-native English speakers. Which Responsible AI principle are they failing to uphold?

⚠ Common exam trap

AWS often tests the distinction between Fairness and Robustness, where candidates mistakenly attribute performance disparities to a lack of robustness rather than recognizing it as a fairness issue stemming from biased training data.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Fairness

The model's higher error rates for non-native English speakers indicate a bias in the training data or model design that leads to disparate performance across demographic groups. This directly violates the Fairness principle of Responsible AI, which requires that AI systems treat all groups equitably and do not amplify existing societal biases. Amazon Transcribe's underlying acoustic and language models may have been trained predominantly on native English speech, causing systematic underperformance for non-native accents.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Fairness

    Why this is correct

    Fairness addresses disparate impact.

  • Explainability

    Why it's wrong here

    Explainability is about understanding decisions.

  • Robustness

    Why it's wrong here

    Robustness is about performance under extreme conditions.

  • Privacy

    Why it's wrong here

    Privacy concerns data handling.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.