AI Associate AI Fundamentals Practice Question
A company uses a generative AI model to create marketing copy. They want to ensure the output is accurate and not misleading. Which TWO practices should they implement?
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
✓
Always have a human review the generated content before publishing
Human review catches errors (hallucinations). Grounding the model in verified data reduces false information. Avoid over-reliance on the model without verification.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the model's temperature setting to encourage creativity
Why it's wrong here
Higher temperature increases randomness, potentially more hallucinations.
- ✗
Disable all content filtering to avoid blocking useful output
Why it's wrong here
Removing filters increases risk of harmful or inaccurate content.
- ✓
Always have a human review the generated content before publishing
Why this is correct
Human oversight catches hallucinations and inaccuracies.
- ✓
Ground the model with a knowledge base of verified facts
Why this is correct
Grounding reduces hallucinations by providing fact-checked context.
- ✗
Use the model's output directly without checking
Why it's wrong here
Risks publishing incorrect content.
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