Description
Policy establishing requirements for meaningful human oversight, intervention mechanisms, and escalation procedures for AI system outputs.
Implementation Guidance
Oversight Levels
Define tiered oversight requirements based on AI system risk classification: human-in-the-loop (human approves every decision), human-on-the-loop (human monitors and can intervene), human-in-command (human sets objectives and constraints). Map each deployed AI system to the appropriate level.
Intervention Mechanisms
Implement technical controls enabling human override: kill switches for autonomous systems, confidence threshold alerts, manual review queues for edge cases, and rollback procedures when AI outputs cause harm.
Escalation Procedures
Document clear escalation paths: who to notify when AI outputs are unexpected, how to escalate ethical concerns, and mandatory reporting triggers (bias detected, safety incident, regulatory inquiry).
Evidence Requirements
- Human oversight policy with risk-tiered requirements
- AI system risk classification register
- Intervention mechanism documentation per system
- Escalation procedure records and incident logs