Index
Citation·page:nist-ai-rmf:fn28
NIST AI Risk Management Framework - Footnote 28
Verdictpartial85%
1 check · 4/29/20261 → partial
Our claim
entire recordNo record data available.
Source evidence
1 src · 1 checkpartial85%Haiku 4.5 · 4/3/2026
NoteThe claim mentions 'studies of AI incidents', while the source refers to an 'analysis of 133 documented AI incidents'. The claim mentions 'properly implemented frameworks with controls aligned to standards like ISO/IEC 42001 can provide comprehensive incident coverage', while the source says the taxonomy is explicitly aligned with ISO/IEC 42001 controls and NIST AI RMF functions to facilitate auditability. The claim mentions 'translation to prevention requires further validation', while the source does not explicitly mention 'translation to prevention'.
Case № page:nist-ai-rmf:fn28Filed 4/29/2026Confidence 85%