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  "claim": {
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    "subject": "Constitutional AI (CAI)",
    "predicate": "introduced_in_paper",
    "object": "Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)",
    "confidence": 1,
    "sources": [
      {
        "url": "https://arxiv.org/abs/2212.08073",
        "title": "Constitutional AI: Harmlessness from AI Feedback",
        "publisher": "arXiv (Bai et al., Anthropic)",
        "publishedDate": "2022-12-15",
        "accessedDate": "2026-05-16",
        "type": "preprint",
        "excerpt": "We experiment with methods for training a harmless AI assistant through self-improvement, without any human labels identifying harmful outputs. The only human oversight is provided through a list of rules or principles, and so we refer to the method as 'Constitutional AI'."
      },
      {
        "url": "https://www.anthropic.com/research/constitutional-ai-harmlessness-from-ai-feedback",
        "title": "Constitutional AI: Harmlessness from AI Feedback",
        "publisher": "Anthropic",
        "publishedDate": "2022-12-15",
        "accessedDate": "2026-05-16",
        "type": "official-blog"
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    "id": "ba1eb83c14795107",
    "statement": "Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)."
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  "citedAs": "Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022). — SourceScore Claim ba1eb83c14795107 (verified 2026-05-16, signed 79562c3c…). https://sourcescore.org/claims/ba1eb83c14795107/"
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