Detailed Definition
AI hallucination is when a generative model outputs text that is grammatically correct but factually incorrect, making up dates, citations, names, or code paths.
Glossary HubAI Writing
What is AI Hallucination?
A phenomenon where an AI model generates false or fabricated information confidently.
1 min read•Updated 2026-06-08
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Practical Example
Code/Output blockAI claiming a historical treaty was signed in 2045 between imaginary countries.
Why It Matters
Hallucinations pose significant trust risks. Copy-pasting AI output without verifying facts can lead to public relations crises, legal errors, or code bugs.
Common Use Cases
1
Identifying fact-checking requirements in automated content pipelines
2
Designing safety fallbacks for customer-facing advice interfaces
3
Setting system parameters like temperature lower to reduce random creative fabrication
Frequently Asked Questions
Provide source documents to the prompt context, and set the model temperature to zero for factual responses.
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