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.
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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.