Constitutional AI

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  "dateCreated": "2026-02-15",
  "llmSummary": "Constitutional AI is Anthropic's methodology using explicit principles and AI-generated feedback (RLAIF) to train safer models, achieving 3-10x improvements in harmlessness while maintaining helpfulness across Claude deployments. The approach has influenced safety practices at major AI labs but faces limitations around constitutional ambiguity, cultural bias, and adversarial robustness.",
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      "text": "RLAIF vs RLHF",
      "url": "https://arxiv.org/abs/2309.00267",
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      "resourceTitle": "RLAIF: Scaling Reinforcement Learning from Human Feedback"
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      "text": "Claude's Constitution",
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      "text": "Constitutional Classifiers",
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      "resourceTitle": "Constitutional Classifiers"
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    {
      "date": "2026-02-18",
      "branch": "claude/review-pr-216-P4Fcu",
      "title": "Fix audit report findings from PR #216",
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