Quiz: Mitigating Hallucinations in Research

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Question 1 of 3

1. Question

In the context of using AI for research, what is an AI ‘hallucination’?

When the AI processes data too quickly and crashes the application.
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When the AI generates plausible but factually incorrect or entirely fabricated information.
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When the AI refuses to answer a prompt due to built-in safety constraints.
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When the AI copies text verbatim from a copyrighted source without providing attribution.
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Question 2 of 3

2. Question

Which of the following prompting techniques is most effective for mitigating AI hallucinations when gathering research?

Asking broad, open-ended questions to give the AI maximum creative freedom.
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Instructing the AI to base its answers strictly on provided reference text and to state if the answer is unknown.
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Requesting the AI to invent hypothetical case studies to support its primary claims.
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Asking the AI to provide its response as quickly as possible without prioritizing source material.
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Question 3 of 3

3. Question

What is an essential step a researcher must take after receiving factual claims or academic citations from a generative AI tool?

Cross-reference all claims and citations with reliable, primary external sources to verify their existence and accuracy.
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Copy and paste the text directly into the final report, as modern AI tools guarantee 100% factual accuracy.
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Ask the exact same AI tool if its previous answer was correct, and trust its secondary confirmation.
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Assume the citations are valid as long as they contain recognizable publication names and author formats.
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Quiz: Mitigating Hallucinations in Research

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