A structured survey of AI hallucinations, synthesizing prior research to clarify their evolving definitions, underlying causes, and implications for Information Systems positions AI hallucinations as socio-technical phenomena with direct implications for trust, decision-making, and governance.
The study reveals that AI hallucinations have three kinds of manifestations, which include content distortion, evidence failure and improper argumentation, which comprises factual error, false or irrelevant citation, and superficially coherent arguments lacking evidence.
A pragmatic, multi-stage framework specifically tailored for international courts and arbitral tribunals to identify, manage, and respond to AI-generated falsehoods is proposed, which emphasizes procedural fairness, a factor-based assessment of culpability and impact, and a graduated range of remedial measures availabl...
D. Charlotin· Journal of International Dis...· 0 citations
This survey provides a comprehensive treatment of the field across five interconnected dimensions, proposing a unified five-class taxonomy that organizes hallucinations by their failure mode: object, attribute, relational, factual, factual, and reasoning.
A. O. Ogar, Joshua Abah, M. Suleiman et al.· 0 citations
The lifecycle of hallucination in LLMs is a concept that enables building solid frameworks on the control and reliability of LLMs in high-stakes environments, including health, legal, and scientific research. Although previous surveys have primarily focused on detection or mitigation, this survey provides a lifecycle-b...
Naveen Lamba, Sanju Tiwari, Manas Gaur· International Journal of Dat...· 0 citations
A concise two-axis framework that integrates an “intrinsic-extrinsic” distinction in source attribution introduced by Ji et al. with a “faithfulness-factuality” distinction in contextual grounding surveyed is presented, yielding four clearly defined hallucination types applicable across tasks, modalities and architectu...
Misbah Khan, Preston Billion-Polak, T. Khoshgoftaar· IEEE Access· 0 citations
The findings indicate that hallucinations systematically compromise academic writing quality, distort assessment processes and undermine epistemic trust in scholarly outputs, leading to an integrated conceptual perspective linking hallucinations to epistemic risk, information integrity and digital trust.
K. Lai, N. Mustaffa, C. Preece et al.· Journal of Science and Techn...· 0 citations
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