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Week 6 · Lesson 4 of 6
Digital · Guided lesson

Ground and verify outputs

About 33 minutes · 5 reading + 28 practice and checks
Work at your own pace. Optional videos take extra time.
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Before you begin

The idea in everyday life

Prefer primary, current, and directly relevant sources. Require claim-level citations where accuracy matters, open those citations, and compare the stated claim with the source—not merely the page title. Independently recalculate numbers and inspect omitted counterevidence.

The idea

Fluency is not evidence; every important claim needs a traceable source or direct calculation.

Try it

One step at a time.

Use the sample or information you have permission to use. These steps help you build your weekly project.

  1. 1

    Provide authoritative source material when possible and require the output to stay within it.

  2. 2

    Separate facts, inferences, calculations, recommendations, and unknowns in the requested format.

  3. 3

    Open cited sources and confirm they support the exact claim, date, scope, and quoted language.

  4. 4

    Recompute important numbers independently and test edge cases, counterexamples, and omitted constraints.

Example

See how it works.

An AI draft says a regulation took effect in June. The reviewer opens the cited agency notice, discovers June was the publication date and the effective date is August, corrects the brief, records the source and access date, and adds the jurisdiction.

Check your work

Did you cover these?

  • Every consequential factual claim has support you opened yourself.
  • Dates, units, names, quotations, and calculations are checked against the source.
  • The review asks what evidence would contradict or limit the conclusion.
Your work

What to finish

A verification checklist applied to one AI-generated analysis with corrections documented.

Common mistake

Watch for this

Trusting plausible citations, confident wording, or a correct-looking spreadsheet formula without checking.

How can I tell I understand it?

You can trace every consequential claim to evidence and describe what remains uncertain.

Try 3 questions

Quick knowledge check

Answer all 3 questions. Get at least 2 right and the lesson completes automatically.

Not yet passed

You’ll get an explanation for each answer. Signed in? Your results save to your account.

1An AI analysis says a practice cost increased 20%, from $80 to $100. What correction follows from independently checking the calculation?
2A supplied survey table covers 200 evening students at one college; 120 selected online classes. Which statement is directly supported, without extending the population?
3An AI summary cites a fictional training notice and says applications close October 10. The supplied notice says “Published October 10; applications close October 24.” What went wrong?
0 of 3 answeredApply the lesson to a short question, then review the explanation.
4
Finish this lesson

Pass the check. We’ll save the progress.

Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.

Go to the knowledge check
Optional course overview video · same video as Lesson 1
Google CloudAI and Machine Learning with Google CloudYouTube
Optional course overview

AI and Machine Learning with Google Cloud

From Google Cloud. Watch here or open it on YouTube .

Treat generated explanations in the video as demonstrations. For your workflow, add a separate evidence step whenever the output makes an external factual claim.
Tools, templates, and lesson sources

Tools and templates

Tools open in a new tab so you can keep your place here.

Sources and further reading

Explore the references behind this lesson.

NIST — AI Risk Management Framework
OpenAI — Prompt engineering guide
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