Page 6 of 8~116 min topic

Privacy and smart sharing

Consent and other people's data

Possession is not the same as permission. Meaningful consent depends on understandable information, real choice, appropriate authority, and a specific purpose.

~15 min this pageSocial responsibility

1Try it yourself

Playground

Share or hide?

One item at a time — decide what is OK to paste into a chatbot.

Message 1 of 6

A public recipe you want rewritten

2Learn the idea

Read

The core idea

See it

Smart sharing ladder
  1. 1
    HideDon’t paste it
  2. 2
    ScrubRemove names / IDs
  3. 3
    AskIs this tool private enough?

Climb down before you paste anything sensitive

Possession is not the same as permission. Meaningful consent depends on understandable information, real choice, appropriate authority, and a specific purpose.

Read

A practical lens

Use this three-part method:

  1. Ask whether the person expects this use. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.
  2. Distinguish personal permission from organizational authority. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.
  3. Choose a non-ai or local process when consent is absent. Write down what this means in the scenario, what evidence would show it was done, and who owns the decision.

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Worked example

Walk through A parent wants an AI summary of a child’s school report, while a teammate wants feedback on a colleague’s private message.. Label three moments where “Consent and other people's data” changes what you trust: (1) the first fluent answer, (2) the first missing source or permission, and (3) the decision a human must own. Write the before/after task so the model only does the slice that evidence supports. Keep one sentence that states how this page’s idea differs from a generic “AI is smart/dumb” score.

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Common traps and better moves

  • Treating a buried notice as meaningful consent. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.
  • Sharing on someone’s behalf because the goal seems helpful. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.
  • Forgetting that children and employees may have limited power to refuse. This shortcut removes useful friction, but it also hides an assumption that should be tested. Replace it with an observable check.

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Build the habit

Before you close the tab, capture a reusable habit for Consent and other people's data inside Privacy and smart sharing: name the observable check, the evidence you would open, and the stop condition. Rehearse it once on a low-stakes example, then once on a higher-stakes variant. The habit succeeds when you can explain the check without reopening this lesson. Target outcome: Recognize personal, sensitive, confidential, and secret information before sharing.

Go deeper

Before you start

Why this matters

A parent wants an AI summary of a child’s school report, while a teammate wants feedback on a colleague’s private message.

In the wild

See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.

Check your understanding

Answer from memory. Completion is saved from this evidence, not from opening the next page.

Local focus for Consent and other people's data (Privacy and smart sharing): write the smallest test that would falsify a confident claim on this page, name the evidence you would open first, and note who must approve if the cost of being wrong is more than a redo. Keep the note under ten lines so you will actually reuse it.

1. Explain the page’s core distinction without using the word “smart.”
2. Which fact, source, permission, or test would most change your judgment in the opening scenario?
3. Name one low-consequence use where a light check is enough and one high-consequence use where independent review is required.
4. What should a responsible user do when the available evidence cannot support the requested conclusion?

All responses are required.