The paper "AI Hallucinations: A Misnomer Worth Clarifying" by Negar Maleki, Balaji Padmanabhan, and Kaushik Dutta explores the term "hallucination" in the context of Artificial Intelligence (AI), particularly in large language models (LLMs). The authors conduct a systematic review across 14 databases to identify and analyze definitions of "AI hallucination." They find that there is a lack of consensus on a precise and universally accepted definition, with varying characteristics and interpretations across different applications. The term is often used to describe errors or outputs that are unrelated to the input, such as incorrect or fictional content in text generation tasks. The authors also discuss the implications of using the term "hallucination" in AI, including concerns about stigmatization and the potential for negative connotations. They propose the need for more systematic and nuanced terminology to address these issues and call for a unified effort to bring consistency to the discussion of "AI hallucination." The paper highlights the importance of clarifying the term to promote better understanding and mitigate potential harm in various domains, including medicine and healthcare.The paper "AI Hallucinations: A Misnomer Worth Clarifying" by Negar Maleki, Balaji Padmanabhan, and Kaushik Dutta explores the term "hallucination" in the context of Artificial Intelligence (AI), particularly in large language models (LLMs). The authors conduct a systematic review across 14 databases to identify and analyze definitions of "AI hallucination." They find that there is a lack of consensus on a precise and universally accepted definition, with varying characteristics and interpretations across different applications. The term is often used to describe errors or outputs that are unrelated to the input, such as incorrect or fictional content in text generation tasks. The authors also discuss the implications of using the term "hallucination" in AI, including concerns about stigmatization and the potential for negative connotations. They propose the need for more systematic and nuanced terminology to address these issues and call for a unified effort to bring consistency to the discussion of "AI hallucination." The paper highlights the importance of clarifying the term to promote better understanding and mitigate potential harm in various domains, including medicine and healthcare.