AI in Criminal Justice: Where Bias Has Real Consequences

End-of-lesson check

15 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 core idea behind "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. NPRM
   3. consent design
   4. Promise anonymity AI cannot enforce

2. Which term best describes a foundational idea in "AI in Criminal Justice: Where Bias Has Real Consequences"?

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

3. A learner studying AI in Criminal Justice: Where Bias Has Real Consequences would need to understand which concept?

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

4. Which of these is directly relevant to AI in Criminal Justice: Where Bias Has Real Consequences?

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

5. Which of the following is a key point about AI in Criminal Justice: Where Bias Has Real Consequences?

   1. Learn the documented cases of AI harm in criminal justice (face recognition wrongful arrests, biased…
   2. Support reform efforts (transparency requirements, fairness audits, moratoria)
   3. Engage local — county and state AI use is often where reform happens fastest
   4. Center affected community voices in any conversation about reform

6. Which of these does NOT belong in a discussion of AI in Criminal Justice: Where Bias Has Real Consequences?

   1. NPRM
   2. Learn the documented cases of AI harm in criminal justice (face recognition wrongful arrests, biased…
   3. Engage local — county and state AI use is often where reform happens fastest
   4. Support reform efforts (transparency requirements, fairness audits, moratoria)

7. Which statement is accurate regarding AI in Criminal Justice: Where Bias Has Real Consequences?

   1. Substitute personal awareness for systemic reform
   2. Speak for affected communities as an outsider
   3. Solve criminal-justice problems with AI fixes alone
   4. NPRM

8. What is the key insight about "Criminal-justice AI engagement" in the context of AI in Criminal Justice: Where Bias Has Real Consequences?

   1. NPRM
   2. consent design
   3. Promise anonymity AI cannot enforce
   4. Help me think through my engagement with AI in criminal justice.

9. Which statement accurately describes an aspect of AI in Criminal Justice: Where Bias Has Real Consequences?

   1. AI in criminal justice has caused documented harm; ethical engagement supports the reform conversation.
   2. NPRM
   3. consent design
   4. Promise anonymity AI cannot enforce

10. Which best describes the scope of "AI in Criminal Justice: Where Bias Has Real Consequences"?

    1. It is unrelated to ethics workflows
    2. It focuses on AI in policing, sentencing, and parole has documented bias problems. The harm is concrete. The refor
    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 in Criminal Justice: Where Bias Has Real Consequences?

    1. NPRM
    2. consent design
    3. What AI does well here
    4. Promise anonymity AI cannot enforce

12. Which section heading best belongs in a lesson about AI in Criminal Justice: Where Bias Has Real Consequences?

    1. NPRM
    2. consent design
    3. Promise anonymity AI cannot enforce
    4. What AI cannot do

13. Which of the following is a concept covered in AI in Criminal Justice: Where Bias Has Real Consequences?

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

14. Which of the following is a concept covered in AI in Criminal Justice: Where Bias Has Real Consequences?

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

15. Which of the following is a concept covered in AI in Criminal Justice: Where Bias Has Real Consequences?

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