AI hallucination is defined as false or misleading information generated by an AI and presented as fact.
In AI, a hallucination (also called artificial hallucination) is an AI-generated response that includes false or misleading information while presenting it as if it were true. The term is loosely compared to human hallucinations, which involve perceiving things that are not actually there, but in AI the issue is about fabricated or incorrect facts appearing in the output. This can happen especially with chatbots built on large language models (LLMs), which may produce plausible-sounding random falsehoods—for example, inventing citations or details that were never provided or verified. Detecting and mitigating these errors is difficult, particularly for high-stakes uses such as medical diagnostics, chip design, and logistics, where incorrect “facts” can cause real harm. The label “AI hallucination” is also criticized by some researchers because it anthropomorphizes the system and can be vague about the underlying causes of the errors.
AI hallucination is defined as false or misleading information generated by an AI and presented as fact.
Large language model chatbots can embed plausible-sounding falsehoods (e.g., fabricated citations), making detection and mitigation challenging in high-stakes settings.
An AI-generated response containing false or misleading information that is presented as if it were true.
An alternative term used for AI outputs that fabricate information while behaving as though it is factual.
A related term describing AI behavior that produces statements without regard for truth, often sounding confident and factual.
“Can you explain what "AI hallucination is defined as false or misleading information generated by an AI and presented as fact." means in simple terms?”