Steward
AI Oversight
Designing automated systems with clear limits, human checks that work, and ways to put things right.
What is AI Oversight?
Designing automated systems with clear limits, human checks that work, and ways to put things right.
What you learn
Plan how people will notice when AI is confidently wrong.
When it helps
you are setting up ongoing accountability for AI decisions, including review, monitoring and appeals.
Use it at work
- Name who’s accountable for each AI decision.
- Show reviewers the reasons behind each decision.
- Flag unusual cases, and check a sample of decisions.
- Give affected people a way to appeal.
Your output
For each AI decision in your product, write how a person would notice it’s wrong, how fast, and how they’d take control.
Watch for
Assuming a person in the loop will catch errors they can’t see.
Related practices
- Failure Analysis
- Privacy by Design
- Operational Readiness
- Automation Allocation
- Uncertainty Communication
- Human Override
- AI Onboarding
- AI Failure Recovery
- AI Evaluation
- Agent Workflow Design
Sources
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