AI Hallucination Awareness Guide
Last updated: September 22, 2026
Hallucination is one of the most important limits of current AI systems. This guide explains what hallucinations are, where they come from, and how to catch them.
What Is a Hallucination?
A hallucination is an AI output that is confidently presented but factually incorrect, fabricated, or unsupported by the underlying sources. Hallucinations can include invented citations, fake URLs, made-up names, and false claims.
Confidence vs Accuracy
AI systems often sound confident regardless of whether they are correct. Tone is not a signal of accuracy. Treat outputs as drafts that need verification.
How to Verify
Use these habits to catch hallucinations:
- Check facts, names, dates, and figures against reputable sources.
- Open every cited link before relying on it.
- Ask the model to show its reasoning or sources, then validate them.
- Cross-check across two or more independent sources for consequential decisions.
When Verification Is Essential
Always verify before relying on AI for legal, medical, financial, safety, scientific, or compliance-related decisions. See our Human Verification Policy.