AI Ad-Targeting Audits: Catching Sensitive-Category Inferences

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-safety-AI-and-ad-targeting-sensitive-categories-adults

1. What is the core idea behind "AI Ad-Targeting Audits: Catching Sensitive-Category Inferences"?

   1. AI ad-targeting models can infer sensitive categories from innocuous signals — audit inference outputs, not just inputs.
   2. Decide what is unfairly prejudicial
   3. Suggest decision-rights language for stand-ins
   4. known limits

2. Which term best describes a foundational idea in "AI Ad-Targeting Audits: Catching Sensitive-Category Inferences"?

   1. sensitive category
   2. proxy inference
   3. GDPR Article 9
   4. audit log

3. A learner studying AI Ad-Targeting Audits: Catching Sensitive-Category Inferences would need to understand which concept?

   1. proxy inference
   2. GDPR Article 9
   3. sensitive category
   4. audit log

4. Which of these is directly relevant to AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

   1. proxy inference
   2. sensitive category
   3. audit log
   4. GDPR Article 9

5. Which of the following is a key point about AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

   1. Generate probe ad creatives that test for sensitive-category proxy targeting.
   2. Build an inference-audit log schema linking signals to categories.
   3. Decide what is unfairly prejudicial
   4. Suggest decision-rights language for stand-ins

6. What is one important takeaway from studying AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

   1. Remove a category from a deployed model without retraining oversight.
   2. Decide which proxy inferences are commercially acceptable to allow.
   3. Decide what is unfairly prejudicial
   4. Suggest decision-rights language for stand-ins

7. What is the key insight about "Proxy-inference probe set" in the context of AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

   1. Decide what is unfairly prejudicial
   2. Suggest decision-rights language for stand-ins
   3. Generate 25 ad creatives designed to probe whether a targeting model infers health, religion, sexuality, or political vi…
   4. known limits

8. What is the key insight about "Catching it is the easy part" in the context of AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

   1. Decide what is unfairly prejudicial
   2. Suggest decision-rights language for stand-ins
   3. known limits
   4. Identifying a problematic inference is easier than removing it.

9. Which statement accurately describes an aspect of AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

   1. AI can probe ad-targeting models for proxy inferences of sensitive categories, but corrective action requires product and legal alignment.
   2. Decide what is unfairly prejudicial
   3. Suggest decision-rights language for stand-ins
   4. known limits

10. Which best describes the scope of "AI Ad-Targeting Audits: Catching Sensitive-Category Inferences"?

    1. It is unrelated to ethics-safety workflows
    2. It focuses on AI ad-targeting models can infer sensitive categories from innocuous signals — audit inference outpu
    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 Ad-Targeting Audits: Catching Sensitive-Category Inferences?

    1. Decide what is unfairly prejudicial
    2. Suggest decision-rights language for stand-ins
    3. What AI does well here
    4. known limits

12. Which section heading best belongs in a lesson about AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

    1. Decide what is unfairly prejudicial
    2. Suggest decision-rights language for stand-ins
    3. known limits
    4. What AI cannot do

13. Which of the following is a concept covered in AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

    1. proxy inference
    2. sensitive category
    3. GDPR Article 9
    4. audit log

14. Which of the following is a concept covered in AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

    1. proxy inference
    2. sensitive category
    3. GDPR Article 9
    4. audit log

15. Which of the following is a concept covered in AI Ad-Targeting Audits: Catching Sensitive-Category Inferences?

    1. proxy inference
    2. sensitive category
    3. GDPR Article 9
    4. audit log