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Constitutional AI Evaluation Framework(CAI-Eval)
Anthropic's framework for evaluating AI safety through constitutional principles, including jailbreak resistance testing and harmlessness assessment.
In 30 seconds
- What
- Tests AI outputs against a set of explicit principles using classifiers and red team adversaries to measure jailbreak resistance and harmful behavior.
- When to use
- Building safety-critical systems where you need quantified evidence of resistance to adversarial prompts and measurable harmlessness scores.
- Watch out
- Red team testing is expensive and time-consuming; results may not transfer to your specific deployment context or novel attack vectors.
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Constitutional AI Evaluation Framework: Overview
Anthropic's framework for evaluating AI safety through constitutional principles, including jailbreak resistance testing and harmlessness assessment.
- Constitutional principle adherence testing
- Jailbreak resistance evaluation (95%+ success rate)
- Red team adversarial assessment
- Harmlessness from AI feedback
- Constitutional classifiers validation
- 3000+ hours of red team testing
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References
The papers, specifications, and repositories this pattern is based on.
- Constitutional AI: Harmlessness from AI Feedback - Anthropic (2022)
- Constitutional Classifiers: Defending against universal jailbreaks - Anthropic (2025)
- Progress from our Frontier Red Team - Anthropic (2024)
From the engineer behind this catalog
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