As large language models continue to advance in Artificial Intelligence (AI),
text generation systems have been shown to suffer from a problematic phenomenon
termed often as "hallucination." However, with AI's increasing presence across
various domains including medicine, concerns have arisen regarding the use of
the term itself. In this study, we conducted a systematic review to identify
papers defining "AI hallucination" across fourteen databases. We present and
analyze definitions obtained across all databases, categorize them based on
their applications, and extract key points within each category. Our results
highlight a lack of consistency in how the term is used, but also help identify
several alternative terms in the literature. We discuss implications of these
and call for a more unified effort to bring consistency to an important
contemporary AI issue that can affect multiple domains significantly.

本研究通过系统回顾 14 个数据库，分析了 “AI 幻觉” 这一术语的定义，并将其按应用领域进行分类，发现使用该术语的一致性不足，提出了几个替代术语，并呼吁在涉及多个领域的重要当代 AI 问题上实现更加统一的共识。