Risk, policy, human oversight
Turn vague “AI policy” anxiety into a clean decision: Allowed · With review · Restricted · Blocked. The module gives you the criteria and the routing — and shows how to log the decision against a version of policy.
What you will learn
- Apply the four-state risk decision to a use case.
- Route an unclear case to the right reviewer.
- Log a decision against a policy version.
How you’ll learn this module
Built around evidence-informed learning methods. Designed to support retrieval practice, feedback, and spaced review.
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Topics covered
Four-state decisionAllowed · With review · Restricted · Blocked.
RoutingWho decides, who reviews, who signs off.
Versioning policyDecisions live against a policy snapshot.
Re-review triggersWhen a yes becomes a maybe.
Suggested learning sequence
01
Read
The four states and what they mean. ~15 min.
02
Decide
Apply states to ten real use cases. ~20 min.
03
Route
Send three of them to the right reviewer. ~15 min.
Practical exercises
- Pick three pending use cases. Decide and route each in writing.
- Find one policy gap your team hasn’t covered. Draft a one-line clause.
Practice with the AI Tutor
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Bring one piece of work into the tutor. It turns this module’s topics into risk flags, a practice mission, an experiment, and an evidence record.
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