An effective AI risk register links each risk to data assets, model families, business processes, and existing mitigations. We score via blended (impact * likelihood * detectability gap) and track residual risk trend over time.
Include lifecycle stage tagging (training, evaluation, deployment, monitoring) to target control investments precisely.
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