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Running more than one AI model on a threat assessment often shows where they disagree, and that disagreement is worth recording
AI can help threat assessment teams sort risk signals, but someone still has to answer for the call. This piece covers a practical approach: run more than one model and treat their disagreements as findings to examine, not noise to average away
Using AI in threat assessment? Log where models disagree, write down the assumptions behind each call, name the human who makes the final decision, and set a follow-up review date that fits your risk level, not a default
A practical look at governing AI in threat assessment work. Learn how to handle cases where multiple models disagree, write down the assumptions behind each call, and name the person who makes the final decision
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