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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 guide to governing AI in threat assessment: log where models disagree, write down every assumption, name the person who makes the final call, and schedule a follow-up review on a set date
Running threat assessments through more than one AI model shows you something a single model can't: where they disagree. This guide explains how to treat that disagreement as a signal rather than noise
AI can help with threat assessment, but only if the reasoning stays reviewable. This piece walks through a governance routine that does that. When two models disagree on a risk rating, the disagreement gets logged, not averaged away
For precocious puberty, GnRH analogs can pause early growth to defend peak strength; therapy judgements weigh timing, advantages, and psychosocial demands.