Module 02 · 12 minutes

Data Minimization

Limit data collection, check consent, respect intellectual property, and prevent misuse.

Written and edited by Cahyanto Arie Wibowo. Last reviewed · version 1.2.

What does “Data Minimization” mean in practice?

For AI Ethics, think of Data Minimization as a way to organize a decision, not as a label that settles the answer. Use Data Minimization as a thinking tool. If the evidence, owner, or limits are unclear, pause and ask a better question. Try Data Minimization on one small task, then write down what still needs to be checked.

A visual model for “Data Minimization” in AI Ethics: relationships matter as much as individual parts.

After this lesson

  • For AI Ethics, think of Data Minimization as a way to organize a decision, not as a label that settles the answer.
  • Use the idea of “Data Minimization” to interpret one realistic situation.
  • Explain the limits of the concept and the information that still needs to be checked.

Start with the situation

Understand the situation first. The label can come later.

Data available online is not automatically permitted for every purpose. This lesson uses the idea of “Data Minimization” to examine that situation without treating a single term as the answer to every problem.

For AI Ethics, think of Data Minimization as a way to organize a decision, not as a label that settles the answer. Limit data collection, check consent, respect intellectual property, and prevent misuse. Connect the term to a decision someone genuinely needs to make.

See how the decision unfolds

Move from the situation to a choice others can review.

01

Situation

Data available online is not automatically permitted for every purpose. This lesson uses the idea of “Data Minimization” to examine that situation without treating a single term as the answer to every problem.

02

Decision

Data available online is not automatically permitted for every purpose. Identify the part of the situation most closely connected to the idea of “Data Minimization”. Use the case as a thinking tool, not as proof that one solution fits every context.

03

Review

Publicly accessible does not mean free to use without limits. This mistake often appears when a label is used before the problem is understood. Write down your assumptions so another person can review them.

Visual model

Map the parts before choosing what to do.

A visual model for “Data Minimization” in AI Ethics: relationships matter as much as individual parts.

Read the diagram as a map of Data Minimization: begin with the context, follow the connections, and inspect the highlighted point before making a decision.

Do not rush the choice

Two ways to look at Data Minimization

Useful when

  • For AI Ethics, think of Data Minimization as a way to organize a decision, not as a label that settles the answer.
  • Use the idea of “Data Minimization” to interpret one realistic situation.
  • For AI Ethics, think of Data Minimization as a way to organize a decision, not as a label that settles the answer. Limit data collection, check consent, respect intellectual property, and prevent misuse. Connect the term to a decision someone genuinely needs to make.

Pause and check

  • Publicly accessible does not mean free to use without limits. This mistake often appears when a label is used before the problem is understood. Write down your assumptions so another person can review them.
  • Explain the limits of the concept and the information that still needs to be checked.

The stronger choice is the one whose evidence, owner, and limits can be explained, not simply the more sophisticated option.

A tempting shortcut

A familiar term can still lead us to the wrong decision.

Why this can seem reasonable

Publicly accessible does not mean free to use without limits. This mistake often appears when a label is used before the problem is understood. Write down your assumptions so another person can review them.

How to check it

Use Data Minimization as a thinking tool. If the evidence, owner, or limits are unclear, pause and ask a better question. Begin with what can be observed, then separate facts, assumptions, and open questions.

Pause for a moment

What evidence could change this decision?

Answer before opening the discussion. Name one fact and one assumption.

Open the discussion

For AI Ethics, think of Data Minimization as a way to organize a decision, not as a label that settles the answer. Use Data Minimization as a thinking tool. If the evidence, owner, or limits are unclear, pause and ask a better question. Try Data Minimization on one small task, then write down what still needs to be checked.

Try it on your work

Try it with one small piece of real work.

  1. Choose one real situation related to Data Minimization.
  2. Separate what you can observe from what you are assuming.
  3. Write one decision, its owner, and the evidence needed to review it.
  4. Name the signal that would make you stop or change direction.

Write two examples that fit Data Minimization and one that does not. Explain the difference in your own words. The larger module activity is: Review security threats and people's rights in one case. Keep the first version small enough for another person to review in a few minutes.

Quick practice

Write two examples that fit Data Minimization and one that does not. Explain the difference in your own words. The larger module activity is: Review security threats and people's rights in one case.

Summary

  • For AI Ethics, think of Data Minimization as a way to organize a decision, not as a label that settles the answer.
  • Use examples and evidence to test your understanding.
  • Record the limits, risks, and conditions that should trigger another review.

Continue from here

Sources and further reading