# Human Oversight

Where people must stay involved.

Track: AI Governance and Ownership

## What is it?

Human oversight means people remain involved where AI output can affect important work. It does not mean a person must approve every AI sentence. It means the right human checks the right output at the right moment.

## Why it matters

AI can move quickly from suggestion to decision. If nobody checks the output, mistakes can become customer messages, reports, recommendations, or decisions. Human oversight keeps judgment in the process.

## How it works

Decide where oversight is needed based on risk. Low risk drafting may need light review. Customer facing advice may need stronger review. Decisions affecting people, rights, money, safety, security, or legal exposure need careful human involvement.

## Analogy

Autopilot helps a pilot, but it does not remove the pilot from the cockpit. The human is still responsible for watching conditions and taking control when needed. AI oversight works the same way.

## Example usage

A manager may review an AI generated performance summary before using it. A lawyer may check sources before relying on AI research. A support lead may review chatbot answers for policy accuracy.

## How to use this

For each AI use case, write one sentence: a human must review this output before it is used for X. If you cannot define the review point, the use case may be too loose.

## Common mistake

The common mistake is saying human in the loop without defining what the human actually does. A vague review step is not oversight.

## Question to ask

- **Trigger**: When must a person review the AI output?
- **Reviewer**: Who is qualified to review this output?
- **Standard**: What does the reviewer check?
- **Record**: Do we need evidence that review happened?

## Quick quiz

What makes human oversight useful?

## Flashcard

**Question:** What is human oversight?

**Answer:** Human oversight means the right person checks AI output at the right point before it affects important work.