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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InstructGPT methodology introduced in paper: Training language models to follow instructions with human feedback (Ouyang et al., 2022).
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InstructGPT introduced in: Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT.
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Reinforcement Learning from Human Feedback (RLHF) introduced in paper: Deep Reinforcement Learning from Human Preferences (Christiano et al., 2017).
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Direct Preference Optimization (DPO) introduced in paper: Direct Preference Optimization: Your Language Model is Secretly a Reward Model (Rafailov et al., 2023).
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// "Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022)."Python
import httpx
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# "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()