review

Constitutional AI review is needed when an AI system identifies recurring patterns and proposes new operating rules. It prevents unintended consequences by presenting the proposed rule, its rationale, and potential impacts to a human reviewer for approval before any system behavior changes are applied.

To triage AI system warrants and CogPR promotions, you review the unified docket of pending proposals and active alerts. The process evaluates proposed changes against defined governance frameworks, checking consistency across CLAUDE.md scopes and audit logs to ensure system integrity and alignment with human oversight.

Yes, you need Python scripts for governance queries and log processing to ensure system integrity. The Skill requires running specific Python dependencies, such as governance_query.py, to query audit logs and process the data needed for consistent human-gated constitutional review.

You can use this constitutional review framework for AI systems managing multiple scopes and audit logs. It consolidates CogPR promotions and active warrants into a single docket, enabling structured human oversight across complex AI governance environments without losing consistency checks.

Managing AI warrants and lessons without a unified docket limits your ability to perform consistency checks across CLAUDE.md scopes and audit logs. It risks applying unreviewed AI-driven rule changes, bypassing the human-gated approval process required to maintain ethical standards and prevent unintended system consequences.