Hallucination

A hallucination is an AI output that is false or unsupported by the relevant context, yet may still be presented in convincing language.

An invented detail can change the conversation

A research report might attribute a reference customer, certification or strategic priority to a prospect without supporting evidence. Repeating it during a meeting can damage credibility or steer a proposal in the wrong direction. Details that fit the surrounding narrative can be especially difficult to notice. Confident language and professional terminology are therefore unreliable indicators of accuracy. Review should focus on claims that affect decisions, including figures, responsibilities and supposed commitments.

Keep uncertainty visible and test it deliberately

Grounding and separating facts, interpretations and open questions can support checking without eliminating the risk. An evaluation should include missing and contradictory information, then examine whether the system admits a limit or invents an answer. A practical rule for users is that a consequential business statement needs suitable evidence before it is adopted. Several similar AI responses do not constitute independent confirmation. The decisive question is whether the claim can be traced to reliable information and whether its scope fits the particular negotiation.

Sources

• What are AI hallucinations?