Anthropic Releases Updated Constitution for Claude
Briefly

Anthropic Releases Updated Constitution for Claude
"Anthropic has published an updated constitution for Claude, providing a structured framework that guides behavior, reasoning, and training. The constitution combines explicit principles with contextual guidance, making it a practical tool for improving alignment, safety, and reliability in real-world interactions. Unlike prior iterations that listed standalone rules, this version emphasizes understanding the rationale behind each principle to help Claude generalize across novel scenarios."
"At a functional level, the constitution is used during training to generate synthetic data, including example interactions, response rankings, and scenario-specific guidance. This data informs model updates, helping Claude produce outputs that reflect intended values while allowing flexibility in ambiguous situations. Key sections cover helpfulness, ethics, safety, guideline compliance, and reasoning about Claude's own capabilities and limits. Helpfulness: Claude is designed to provide context-aware support across different user types, including API operators, developers, and end users."
An updated constitution for Claude provides a structured framework of principles and contextual guidance to steer behavior, reasoning, and training. The constitution emphasizes understanding the rationale behind principles to enable generalization to novel scenarios. Training uses the constitution to generate synthetic data—example interactions, response rankings, and scenario-specific guidance—to inform model updates. Core areas include helpfulness, ethics, safety, guideline compliance, and explicit reasoning about capabilities and limits. Helpfulness targets context-aware support for API operators, developers, and end users. Ethics requires honesty, harm avoidance, and navigation of moral trade-offs with hard constraints on high-stakes behaviors. Safety prioritizes human oversight and operational integrity. Guideline compliance incorporates specific instructions for sensitive domains provided they do not conflict with broader principles.
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