Artificial Intelligence Governance Professional AIGP · Free Practice Question Medium
Question 40
A journalist uses a generative AI model to draft a background section for an investigative article. On review, she finds the model provided a detailed description of a legal case that never actually happened but is presented as if it were real. What best describes this output?
- A A generalization error, since it applies a pattern from one dataset to another
- B A hallucination, because the model created factually incorrect information that appears plausible
- C A ground truth, since it represents verified information
- D A bias, because the model systematically prefers one outcome over another
Reveal correct answer
Correct answer: B
Explanation
Hallucinations are a major challenge in generative AI, requiring careful verification to ensure factual accuracy in outputs.A. Generalization error is a broader concept; this scenario specifically fits the definition of hallucination.
B. AI hallucinations occur when generative models fabricate convincing details that are untrue or not grounded in real data.
C. Ground truth is objectively true and verified, unlike hallucinated content.
D. Bias involves systematic favoritism, not fabrication of facts.
Discussion
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