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Audit the personalization models for systematic bias in who they exclude, accelerate, or under-serve, so the model's behavior is defensible per protected category and per business-sensitive segment
Use probabilistic signals when deterministic identifiers are absent, carrying the confidence bound forward so the systems acting on the match know whether they are reading a high-confidence resolution or a guess