AI and a data-minimization review

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creators-ethics-AI-and-a-data-minimization-review-r10a3-creators

1. What is the core idea behind "AI and a data-minimization review"?

   1. Use AI to review a data collection plan and propose what to drop so you collect only what you actually need.
   2. Some apps have a 'don't save my history' setting — worth turning on if available
   3. Asking first is always the kind move
   4. AI doesn't know your medical history or allergies.

2. Which term best describes a foundational idea in "AI and a data-minimization review"?

   1. purpose limitation
   2. data minimization
   3. PII
   4. retention

3. A learner studying AI and a data-minimization review would need to understand which concept?

   1. data minimization
   2. PII
   3. purpose limitation
   4. retention

4. Which of these is directly relevant to AI and a data-minimization review?

   1. data minimization
   2. purpose limitation
   3. retention
   4. PII

5. Which of the following is a key point about AI and a data-minimization review?

   1. Map each data field to a stated purpose.
   2. Flag fields with no clear purpose.
   3. Suggest retention windows by field type.
   4. Some apps have a 'don't save my history' setting — worth turning on if available

6. What is one important takeaway from studying AI and a data-minimization review?

   1. Replace your privacy counsel's review.
   2. Decide what regulators require you to keep.
   3. Predict every future use case.
   4. Some apps have a 'don't save my history' setting — worth turning on if available

7. What is the key insight about "Prompt: minimization review" in the context of AI and a data-minimization review?

   1. Some apps have a 'don't save my history' setting — worth turning on if available
   2. Asking first is always the kind move
   3. Paste: 'Stated purposes: <list>. Data fields planned: <list>. Output a table: Field, Mapped purpose(s), Drop / Keep / An…
   4. AI doesn't know your medical history or allergies.

8. What is the key insight about "Watch out: 'might need it later'" in the context of AI and a data-minimization review?

   1. Some apps have a 'don't save my history' setting — worth turning on if available
   2. Asking first is always the kind move
   3. AI doesn't know your medical history or allergies.
   4. AI may keep fields because they 'might be useful.' Push back: anything without a current, named purpose should be droppe…

9. Which statement accurately describes an aspect of AI and a data-minimization review?

   1. Most teams collect more than they need 'just in case.' AI can audit a collection plan against stated purposes and propose cuts.
   2. Some apps have a 'don't save my history' setting — worth turning on if available
   3. Asking first is always the kind move
   4. AI doesn't know your medical history or allergies.

10. Which best describes the scope of "AI and a data-minimization review"?

    1. It is unrelated to ethics workflows
    2. It focuses on Use AI to review a data collection plan and propose what to drop so you collect only what you actual
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about AI and a data-minimization review?

    1. Some apps have a 'don't save my history' setting — worth turning on if available
    2. Asking first is always the kind move
    3. What AI does well here
    4. AI doesn't know your medical history or allergies.

12. Which section heading best belongs in a lesson about AI and a data-minimization review?

    1. Some apps have a 'don't save my history' setting — worth turning on if available
    2. Asking first is always the kind move
    3. AI doesn't know your medical history or allergies.
    4. What AI cannot do

13. Which of the following is a concept covered in AI and a data-minimization review?

    1. data minimization
    2. purpose limitation
    3. PII
    4. retention

14. Which of the following is a concept covered in AI and a data-minimization review?

    1. data minimization
    2. purpose limitation
    3. PII
    4. retention

15. Which of the following is a concept covered in AI and a data-minimization review?

    1. data minimization
    2. purpose limitation
    3. PII
    4. retention