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A practical look at governing AI in threat assessment work

Using 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 schedule a follow-up review that fits the case. *(214 characters

Run threat assessments through multiple AI models and log where they disagree. Write down every assumption, name the person who makes the final call, and set a follow-up review date for each case

A practical look at AI governance for threat assessment: compare outputs from multiple models, record the assumptions behind each call, name the human who makes the final decision, and schedule a dated follow-up review

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Using AI in threat assessment without losing accountability: compare where models disagree, write down every assumption, name the human who makes the final call, and set a dated follow-up review on a fixed schedule. *(About 216 characters

Learn how threat assessment teams use AI governance: compare disagreements across models, write down every assumption behind a flag, name the person who makes the final call, and schedule a follow-up review to check the outcome. *(228 characters

When an AI system flags someone as a possible threat, the output alone isn't enough to act on. This guide covers a practical governance workflow for threat assessment teams

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