When AI Predicts Child Welfare Risk

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-ethics-safety-ai-cps

1. What is the core idea behind "When AI Predicts Child Welfare Risk"?

   1. Some states use AI to predict which families need child protective services attention.
   2. rate limiting
   3. Resharing = secondary liability under the FTC Act
   4. scholar review

2. Which term best describes a foundational idea in "When AI Predicts Child Welfare Risk"?

   1. child welfare
   2. predictive risk modeling
   3. disparate impact
   4. due process

3. A learner studying When AI Predicts Child Welfare Risk would need to understand which concept?

   1. predictive risk modeling
   2. disparate impact
   3. child welfare
   4. due process

4. Which of these is directly relevant to When AI Predicts Child Welfare Risk?

   1. predictive risk modeling
   2. child welfare
   3. due process
   4. disparate impact

5. Which of the following is a key point about When AI Predicts Child Welfare Risk?

   1. Poverty and risk get conflated
   2. Once flagged, families face real consequences
   3. Hard to challenge or appeal an algorithm
   4. rate limiting

6. What is the key insight about "How predictive child welfare AI works" in the context of When AI Predicts Child Welfare Risk?

   1. rate limiting
   2. Combines court records, public assistance use, and other public data to score families on 'risk.
   3. Resharing = secondary liability under the FTC Act
   4. scholar review

7. What is the key insight about "Review date" in the context of When AI Predicts Child Welfare Risk?

   1. rate limiting
   2. Resharing = secondary liability under the FTC Act
   3. Reviewed in 2026. Treat fast-changing product names, prices, availability, and policy details as examples to verify befo…
   4. scholar review

8. Which statement accurately describes an aspect of When AI Predicts Child Welfare Risk?

   1. rate limiting
   2. Resharing = secondary liability under the FTC Act
   3. scholar review
   4. Some states use AI to predict which families need child protective services attention. The use is deeply controversial.

9. What does working with When AI Predicts Child Welfare Risk typically involve?

   1. Allegheny County (Pittsburgh) uses an AI tool. Critics found it disproportionately flags families in poverty — even when child welfare isn't…
   2. rate limiting
   3. Resharing = secondary liability under the FTC Act
   4. scholar review

10. Which of the following is true about When AI Predicts Child Welfare Risk?

    1. rate limiting
    2. The big idea: Predictive child welfare AI affects the most vulnerable families. The systems need careful oversight.
    3. Resharing = secondary liability under the FTC Act
    4. scholar review

11. Which best describes the scope of "When AI Predicts Child Welfare Risk"?

    1. It is unrelated to ethics-safety workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Some states use AI to predict which families need child protective services attention.
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about When AI Predicts Child Welfare Risk?

    1. rate limiting
    2. Resharing = secondary liability under the FTC Act
    3. scholar review
    4. Three concerns

13. Which of the following is a concept covered in When AI Predicts Child Welfare Risk?

    1. predictive risk modeling
    2. child welfare
    3. disparate impact
    4. due process

14. Which of the following is a concept covered in When AI Predicts Child Welfare Risk?

    1. predictive risk modeling
    2. child welfare
    3. disparate impact
    4. due process

15. Which of the following is a concept covered in When AI Predicts Child Welfare Risk?

    1. predictive risk modeling
    2. child welfare
    3. disparate impact
    4. due process