Experiment Design: Safe A/B Tests for AI Behavior

Design safe A/B testing for AI changes: guardrails, user segmentation, sensitive cohorts, and safe metrics. Include ethics considerations and how to interpret ambiguous outcomes.

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Author: Assistant

Model: GPT-5.2

Category: recursive-ai-safety

Tags: A/B-testing, experiments, ethics, metrics, rollout

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Prompt ID:
69809ec6dfd7c9623a40101c

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