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COMPAS iyo Eexda ku jirta Recidivism Algorithms Quiz

Waxay tijaabisaa natiijooyinka ProPublica ee heerarka khaladka COMPAS, difaaca cabbirka Northpointe, iyo sababta qeexitaanka caddaaladdu isku dhacsan yihiin marka heerarka salku kala duwan yihiin.

Wadooyinka haga ee la xidhiidhaEexda Algorithm Recidivism Compas
Su'aal 1 ee 8

Eedaysanayaasha AAN dib u xumaan, maxay ProPublica ka heshay eedaysanayaasha Madowga marka la barbar dhigo eedaysanayaasha cadaanka ah?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Eedaysanayaasha AAN dib u xumaan, maxay ProPublica ka heshay eedaysanayaasha Madowga marka la barbar dhigo eedaysanayaasha cadaanka ah?
    • They were less likely to be scored at all
    • They had identical risk labels
    • They were nearly twice as likely to be labeled higher risk
    • They were more likely to be labeled lower risk
  2. Maxay ahayd udub dhexaadka difaaca Northpointe ee COMPAS?
    • At each score level, Black and white defendants reoffended at similar rates (calibration)
    • The tool used race to correct for historical bias
    • ProPublica had analyzed the wrong county
    • The tool was never used in any court
  3. Xaalad noocee ah ayay natiijada suurtogalka ah ku odhanaysaa cabbirka iyo khaladaadka siman ee dhammaan ma wada hayn karaan?
    • When the model uses more than 100 features
    • When the dataset has fewer than 10,000 people
    • When race is included as an input
    • When groups have different base rates and the predictor is not perfect
  4. Maxay Maxkamadda Sare ee Wisconsin ku qabatay Gobolka Loomis?
    • COMPAS is unconstitutional and banned from courts
    • Judges may consider COMPAS, but it cannot be the deciding factor, and written cautions are required
    • COMPAS scores must decide the length of sentences
    • Defendants must be shown the full source code
  5. Jinsigu ma yahay qayb ka mid ah COMPAS?
    • Yes, it is the most heavily weighted factor
    • Yes, but only for defendants in Florida
    • No; it uses criminal history and questionnaire answers
    • No; it uses only a defendant's age
  6. What did the 2018 study by Julia Dressel and Hany Farid find?
    • Untrained online volunteers predicted rearrest about as accurately as COMPAS
    • COMPAS was more than 90 percent accurate
    • Judges ignored COMPAS scores entirely
    • COMPAS had no racial disparities in Broward County
  7. Using FPR = (p/(1-p)) x ((1-PPV)/PPV) x (1-FNR), if PPV and FNR are equal across groups but group A has a higher base rate p, what happens to group A's false positive rate?
    • It must be lower
    • It must be zero
    • It is unaffected by p
    • It must be higher
  8. Why does leaving race out of a risk model not guarantee unbiased outcomes?
    • Courts require race to be included
    • Correlated inputs such as prior arrests can carry historical policing patterns
    • Models cannot run without demographic data
    • Leaving race out always makes the model less accurate for every group