AI system documentation maintenance
Description
Ongoing maintenance of AI system documentation to reflect current state, changes, and operational learnings.
Implementation Guidance
Documentation Inventory
Maintain an inventory of required documentation per AI system: model cards, data sheets, design specifications, test reports, deployment records, monitoring configurations, incident reports, and operational runbooks. Assign documentation owners and review schedules.
Living Documentation
Treat AI documentation as living artifacts: update model cards when models are retrained, refresh data sheets when data sources change, revise runbooks based on operational learnings, and maintain change logs for all document updates.
Documentation Reviews
Conduct periodic documentation accuracy reviews: verify technical details match current system state, check that limitations and known issues sections are current, ensure performance metrics reflect recent measurements, and validate that user-facing documentation remains accurate. Flag stale documentation as a governance finding.
Evidence Requirements
- Documentation inventory with ownership and review dates
- Change logs for documentation updates
- Documentation review records and accuracy assessments
- Updated model cards and system documentation