AI in Criminal Justice: Where Bias Has Real Consequences

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-AI-and-criminal-justice-creators

1. What is the main idea of "AI in Criminal Justice: Where Bias Has Real Consequences"?

   1. AI in policing, sentencing, and parole has documented bias problems. The harm is concrete. The reform conversation is active.
   2. Use AI as the final authority for the whole decision
   3. Avoid checking the answer once it sounds polished
   4. Focus only on speed instead of judgment

2. Which concept is most central to "AI in Criminal Justice: Where Bias Has Real Consequences"?

   1. police AI
   2. criminal justice
   3. sentencing AI
   4. bias

3. Which use of AI fits this topic best?

   1. Solve criminal-justice problems with AI fixes alone
   2. Let the AI decide what matters without your review
   3. Learn the documented cases of AI harm in criminal justice (face recognition wrongful arrests, biased sentencing tools)
   4. Use the answer before checking whether it fits the situation

4. Which limitation should you watch for in this topic?

   1. Learn the documented cases of AI harm in criminal justice (face recognition wrongful arrests, biased sentencing tools)
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Solve criminal-justice problems with AI fixes alone

5. What should a careful learner remember about "Criminal-justice AI engagement"?

   1. Use AI to draft or organize ideas about criminal justice, then verify before acting.
   2. Skip the context so the tool can guess faster
   3. Treat the output as private even after sharing it online
   4. Use the answer without checking the source

6. You want to use AI after this lesson. What is the safest next step?

   1. Act immediately because the AI answer is written clearly
   2. AI cannot make the human values decision for you.
   3. Hide uncertainty so the final answer looks cleaner
   4. Use private or sensitive details before checking permission

7. How should AI output about criminal justice be treated?

   1. As proof that no other source is needed
   2. As a replacement for context, consent, or expert review
   3. As a draft or helper output that still needs human judgment and verification
   4. As something that becomes correct when it sounds confident

8. Name one way to verify an AI answer about criminal justice.

9. Which action would help you apply "AI in Criminal Justice: Where Bias Has Real Consequences" responsibly?

   1. Substitute personal awareness for systemic reform
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Support reform efforts (transparency requirements, fairness audits, moratoria)

10. Which choice is a bad use of AI for this lesson?

    1. Substitute personal awareness for systemic reform
    2. Learn the documented cases of AI harm in criminal justice (face recognition wrongful arrests, biased sentencing tools)
    3. Ask for a plain-language explanation of police AI
    4. Compare the answer with a trusted source