Guide-linked quiz · Hard Level
AI in Courts and Judicial Risk Assessment Quiz
Tests how pretrial risk scores work, what the COMPAS and ProPublica debate revealed, and why calibration and equal error rates can conflict.
Question 1 of 8
What does the Public Safety Assessment (PSA) produce?
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- What does the Public Safety Assessment (PSA) produce?
- A single guilt probability for use at trial
- A recommended prison sentence in months
- Separate scores for failure to appear and new criminal activity, plus a flag for new violent criminal activity
- A psychological profile based on a long interview
- What did ProPublica's 2016 analysis of COMPAS in Broward County report?
- Black defendants who did not reoffend were nearly twice as likely as white defendants to be labeled higher risk
- COMPAS scores were identical for all defendants
- White defendants were more often labeled high risk and then did not reoffend
- COMPAS predicted reoffending perfectly
- How did Northpointe respond to ProPublica's findings?
- It withdrew COMPAS from the market
- It admitted the tool was intentionally biased
- It said race was the most important input
- It argued the scores were equally predictive: a given score matched similar reoffense rates across races
- Why can a risk score generally not be calibrated and have equal false positive and false negative rates across groups at the same time?
- Because the models are too small
- Because the groups have different underlying base rates of the outcome
- Because judges refuse to use calibrated tools
- Because ROC curves cannot be computed for criminal data
- What did the Wisconsin Supreme Court decide in State v. Loomis (2016)?
- COMPAS scores are banned in all sentencing
- Defendants must be shown COMPAS source code
- A judge may consider a COMPAS score with warnings about its limits, but it cannot be the deciding factor
- Risk scores must replace judicial discretion
- What is 'label bias' in pretrial risk tools?
- Rearrest, the outcome being predicted, reflects police contact rather than actual offending
- Defendants are given inaccurate name labels in the database
- Scores are printed in colors that bias judges
- Labels are assigned randomly during training
- What does the area under the ROC curve (AUC) measure for a risk tool?
- Whether scores mean the same thing across racial groups
- How many defendants a court processes per day
- The legal validity of the tool under due process
- How well the scores rank people who later fail above those who do not
- According to the guide, which statement about most judicial risk assessment tools is accurate?
- They are advanced deep learning systems that read case files
- They are mostly transparent statistical models that use only a handful of factors
- They make final bail decisions without a judge
- They are only used in federal courts
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