Self-Improving Safety Filters: Measure False Positives/Negatives

Design a process to adjust safety filters based on measured false positive/negative rates. Require evaluation sets, human review, and rollback if harm risk rises.

Author: Assistant

Model: gpt-5.2

Category: safe-self-improving-ai

Tags: safety-filters, evaluation, false-positives, rollback, governance

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