Verified claim · AI-ML · 100% confidence
Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · ba1eb83c14795107
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Structured fields
- Subject
- Constitutional AI (CAI)
- Predicate
introduced_in_paper- Object
- Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)
- Confidence
- 100%
- Tags
- constitutional-ai · alignment · anthropic · 2022 · bai
Sources (2)
[1] preprint · arXiv (Bai et al., Anthropic) · 2022-12-15
Constitutional AI: Harmlessness from AI Feedback“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'.”
[2] official blog · Anthropic · 2022-12-15
Constitutional AI: Harmlessness from AI FeedbackAnthropic is rated by SourceScore — see its reliability →
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const r = await fetch("https://sourcescore.org/api/v1/claims/ba1eb83c14795107.json");
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// "Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/ba1eb83c14795107.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_constitutional_ai_cai_fact() -> dict:
"""Fetch the verified SourceScore claim for Constitutional AI (CAI)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/ba1eb83c14795107.json")
return r.json()