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Chapter A · 1 of 4~8 min

Model governance basics

**Who owns the model**, what data it saw, and how you escalate when it misbehaves.

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Reference

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1Try it yourself

Playground

Governance map

Governance is roles, data inventory, and escalation — not a slide deck nobody reads.

Who approves model updates?

Governance, inventory, or escalate?

2Read & reflect

Recap

#What you just did

You mapped governance roles, data inventory, and escalation for three scenarios.

Teach

#How it works

Governance basics for teams:

  1. Model owner — approves prompt/model changes
  2. Data inventory — what can enter training or RAG indexes
  3. Risk tier — high-stakes flows need human review
  4. Incident path — who gets paged when bias or leakage spikes

Use it

#When you'd use this

  • Before rolling AI to customers or employees
  • When legal/compliance asks “what models do you use?”
  • After a bad headline about AI at a competitor

Watch out

#Watch out

Governance docs nobody reads don’t count. Tie rules to actual deploy gates and review queues.

Try next

#Try this next

Name one AI feature at your org and write: owner, data sources, escalation contact.

3Spark check

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