Confabulation is distinct from intentional lying because the person is unaware that the information is false.

In the field of computer science, "confabulation" is increasingly preferred over "hallucination" to describe errors made by Large Language Models (LLMs).

(confabulation) is the production of fabricated, distorted, or misinterpreted memories about oneself or the world, without the conscious intention to deceive. Often referred to as "honest lying," the individual believes these memories are entirely accurate even when presented with contradictory evidence. Core Psychological and Clinical Features

: It is frequently associated with neurological conditions including Korsakoff syndrome (often linked to thiamine deficiency), Alzheimer's disease , traumatic brain injury, and schizophrenia. Damage to the right frontal lobe is often implicated in these distortions. Emerging Contexts: Artificial Intelligence

: Posits that the failure occurs during the process of searching for and monitoring memories after they are retrieved.

For further reading on how this affects clinical diagnosis, you can explore the Verywell Mind guide on Confabulation or the comprehensive overview on Wikipedia .

: LLMs may statistically blend uncertain data points into a single, confident-sounding but false response.