**Short version (200-255 characters):** How to run AI-assisted threat assessments without losing accountability: log where models disagree, write down assumptions before scoring, name the person who makes the final call, and set a dated follow-up review
Practical guidance for AI in threat assessment: flag when models disagree, record the assumptions behind each call, name the human who makes the final decision, and set a follow-up review date that fits the risk level
**Short description (under 255 characters):** Running several AI models on threat assessments? Log where they disagree, write down the assumptions behind each call, name the person who makes the final decision, and set a dated follow-up review
Practical AI governance for threat assessment: compare outputs when models disagree, log the assumptions behind each call, name the person who owns the final decision, and set a follow-up review date that fits the case
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