Survey of AI Hallucinations and Mitigation

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Chinese explanation / 中文解读

中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

The rapid integration of generative artificial intelligence into organizational and societal contexts has intensified concerns about the reliability and trustworthiness of AI-generated outputs. Among these, the phenomenon commonly termed 'hallucination' remains widely discussed yet inconsistently defined across disciplines. This paper presents a structured survey of AI hallucinations, synthesizing prior research to clarify their evolving definitions, underlying causes, and implications for Information Systems. Complementing this analysis, a bibliometric study of ACM publications from 1995 to 2025 reveals a sharp increase in mitigation-focused research alongside the rise of large language models. We further examine domain-specific implications across healthcare, law, finance, art, and information systems, showing how hallucinations function as both risks and, in some contexts, sources of creative value. Overall, we position AI hallucinations as socio-technical phenomena with direct implications for trust, decision-making, and governance, and provide a foundation for their evaluation, mitigation, and responsible deployment.

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