Hallucinations / confabulation
Source is over 18 months old.
Publication dates and source age
Sources counted: 1
Newest dated source: 2024-07
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
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In plain language
AI output that presents false or unsupported details as if they were reliable. [1]
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Limits & distinctions
An invented detail in a requested story can be intentional. The problem here is presenting unreliable material as a factual answer. [1]
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A fuller explanation
A model may invent a citation, misstate a fact or contradict material it was given. NIST calls this confabulation. Fluent wording can make these errors hard to notice. [1]
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How it relates to the map
Check important claims against the original material, including any cited pages. [1]
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https://theaiatlas.org/ideas/hallucination/
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Sources and what we read
1. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Source is over 18 months old.
Publication dates and source age
Sources counted: 1
Newest dated source: 2024-07
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Read introduction, section 2.2 on confabulation, and selected MEASURE actions 2.3, 2.5, 2.6, 2.7 and 2.9 concerning evaluation evidence, generalization, citations, generated-code review and safeguards. A voluntary risk-management profile; no claim that all 64 pages or every referenced study was reviewed.
Edition and machine-readable evidence
Content version 0.20.0. Evidence cutoff 2026-09-15; this does not mean every source was read on that day.
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