AI hallucination is a phenomenon where AI systems generate outputs or responses that deviate from reality, posing significant challenges and raising ethical concerns. This article explores the root causes of AI hallucination, such as overfitting during the training phase and biased training data, as well as the potential consequences and the need for mitigative measures.
