Practical AI governance for threat assessment: compare outputs across models and document where they disagree, record the assumptions behind each call, name the person who owns the final decision, and schedule a follow-up review on a set date.
How threat assessment teams can use AI with a clear paper trail: compare models when they disagree, write down the assumptions, name the human who makes the call, and set a review date for each case
AI governance for threat assessment, without the buzzwords. When multiple models disagree on a risk signal, the disagreement gets logged, not averaged away. Each assumption behind a score is written down where reviewers can challenge it
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