A phenomenon in artificial intelligence (AI) systems where the model generates erroneous or fabricated information without awareness of its inaccuracy. In the context of AI hallucinations, confabulation manifests as the generation of plausible but false content by the model, often due to limitations in training data or the underlying algorithms. These hallucinations can occur when the AI model attempts to fill in gaps in its understanding or generate responses beyond its training scope, leading to the production of deceptive or nonsensical outputs. Understanding and mitigating confabulation are essential in ensuring the reliability and trustworthiness of AI systems, particularly in critical applications such as healthcare, finance, and autonomous vehicles.