A methodological framework classifies AI incident trends into five governance categories by separately estimating harm and exposure trends from public data using structured questions and LLM-assisted filtering.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A pragmatic classification framework for AI incident monitoring
A methodological framework classifies AI incident trends into five governance categories by separately estimating harm and exposure trends from public data using structured questions and LLM-assisted filtering.