Quiz – AI Hallucinations Explained

Question 1 of 5

1. Question

What is an AI hallucination?

Content that sounds convincing but does not align with training data or reality

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A verified fact drawn from an authoritative source

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A visual error on the user’s screen

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A deliberate warning message from the model

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Question 2 of 5

2. Question

Why do AI hallucinations happen?

The systems work through statistical associations rather than genuine understanding

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The systems intentionally lie to protect their creators

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The systems run out of electrical power mid-answer

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The systems always refuse to answer uncertain questions

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Question 3 of 5

3. Question

Which technique lets an AI search live databases rather than relying solely on training memories?

Retrieval-augmented generation

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Overfitting the training data

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Increasing the temperature setting to maximum

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Removing all human oversight

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Question 4 of 5

4. Question

Which pattern helps a team recognize a likely hallucination?

Confident claims without supporting details, and invented citations

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Clear references to well-known verified sources

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Explicit statements of uncertainty on every point

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Refusal to answer any obscure question

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Question 5 of 5

5. Question

In which sectors does the capsule stress creating human oversight checkpoints for important decisions?

Healthcare, legal, and financial sectors

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Only entertainment and gaming

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Only academic research

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Sectors where accuracy does not matter

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