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Silent updates in AI models can obscure the link between evaluation results and the actual deployed systems, raising critical governance concerns.
Current AI incident databases can't quantify real-world risk because they lack data on how often risky systems are deployed and how frequently incidents are reported, leaving us flying blind on AI safety.
