Module 3 Summary: Reviewing AI Output

Module ID: AIT-M03 Status: Source package created; public shell pending

What learners should remember

Learners can inspect AI-generated output for facts, missing context, tone, privacy, bias, and usefulness before deciding what to keep, edit, verify, ask again, or reject.

The module is practical. The learner should leave with a small piece of reusable work, not only an idea.

Evidence produced

• Reviewed-output checklist.
• Revision note.
• Claim-check list.
• Keep/edit/verify/reject decision.
• Knowledge check score.

Ready for the next module when

The learner can:

• ai output can sound smooth even when it is incomplete, unsupported, or false.;
• names, dates, numbers, rules, and comparisons need special attention.;
• an answer can be accurate but still wrong for the reader.;
• a useful output can still create harm if it exposes private details or makes unfair assumptions.;
• review should end with a clear decision.;
• visible markup makes review easier to learn.;
• explain what they will verify, edit, ask again, or reject.

Next module

Module 4 applies the review habit to writing and editing tasks.