Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
Which THREE are essential components of a responsible AI strategy for GenAI? (Select three.)
⚠ Common exam trap
Google Cloud often tests the misconception that technical attributes like model size or open-source licensing are core to responsible AI, when in fact the focus is on governance practices like transparency, bias mitigation, and human oversight.
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
✓
Human oversight for critical decisions
Human oversight for critical decisions (C) is essential because GenAI models can produce plausible but incorrect or harmful outputs. A responsible AI strategy mandates that a human-in-the-loop reviews high-stakes outputs, such as medical diagnoses or financial approvals, to prevent automated errors from causing real-world harm. This aligns with the principle of human accountability in AI governance frameworks like the NIST AI Risk Management Framework.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use of only open-source models
Why it's wrong here
Open-source models are not inherently more responsible; proprietary models can also be responsibly deployed.
- ✗
Maximum model size
Why it's wrong here
Model size does not affect responsibility; it is a technical parameter.
- ✓
Human oversight for critical decisions
Why this is correct
Human oversight prevents harmful automated decisions and ensures ethical use.
- ✓
Model transparency and explainability
Why this is correct
Transparency and explainability build trust and allow accountability.
- ✓
Bias detection and mitigation
Why this is correct
Bias detection ensures fair outputs, a key aspect of responsibility.
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This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.