Oversight goals

• Prevent foreseeable harm; correct errors; ensure fairness and legality; maintain user trust.

Oversight modes

• Pre-deployment review: policy & risk sign-off.
• Real-time supervision: human-in-the-loop for gated actions (send, publish, transact).
• Post-hoc review: sampling and audit with corrective actions.

Escalation triggers

• Low confidence, missing context, sensitive topics, high-impact actions, policy mismatch, user complaint.

Operator interfaces

• Show sources, confidence, change diffs, and “reason to override” field; one-click rollback/kill.

Operator training

• Role-based curricula; scenario drills; bias awareness; security hygiene; certification with refresh cycle.

Evidence of oversight

• Decision logs (who/when/why); screenshots; exceptions & waivers; change tickets linked to releases.

Workflows & SLAs

• Response times for approvals; fallback to human agents; on-call schedule; paging and escalation trees.

Access controls

• Segregation of duties; operator vs. admin roles; least-privilege access; session recording where legal.

Limits & kill-switch

• Rate-limits, tool disable, read-only modes, rollback to prior model/index, and full kill-switch criteria.

PMM & decision logs

• Operational dashboards; alert thresholds; correlation with incidents; monthly oversight reports.

Common pitfalls

• Untrained operators, unclear authority, missing evidence, no SLA, or purely manual oversight without tooling.

Oversight checklist

• Triggers defined; UI supports intervention; staff trained; logs intact; SLA met; kill-switch tested.

© Zen AI Governance UK Ltd • Regulatory Knowledge • v1 05 Nov 2025 • This page is general guidance, not legal advice.