What a hallucination is
An AI hallucination is when an AI tool produces information that is false, made up, or unsupported, while presenting it confidently. It might invent a statistic, cite a source that doesn't exist, or describe a feature your product doesn't have.
Why it happens
AI language tools generate text by predicting what's likely to come next based on patterns. They aim to produce plausible answers, not necessarily verified ones. When they lack information, they may fill gaps with something that sounds reasonable.
Where mistakes are most likely
- Specific numbers and statistics
- Dates, prices, and deadlines
- Laws, regulations, and compliance details
- Quotes and citations
- Details about specific people or companies
- Product specifications
Simple protection habits
Give AI accurate information to work from instead of asking it to recall facts. Ask it to flag anything it isn't sure about. Verify important details against reliable sources. Never publish statistics or claims you can't confirm.
Use tools with sources carefully
Some AI tools can search the web and show sources. This helps, but click through and confirm the source actually says what the AI claims.
Build review into your process
Make it a rule that a person reviews AI-generated content before it reaches customers, especially anything involving money, safety, or legal matters.
Don't let fear stop you
Hallucinations are a reason to review, not a reason to avoid AI. Used for drafting and organizing with human review, AI remains a powerful time saver.
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