Fairness, Accountability, and Transparency in Predictive Models for Criminal Justice

Fairness, Accountability, and Transparency in Predictive Models for Criminal Justice

Santa Fe Institute via YouTube Direct link

Final summary

20 of 21

20 of 21

Final summary

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Fairness, Accountability, and Transparency in Predictive Models for Criminal Justice

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  1. 1 Intro
  2. 2 Are police records a representative sample of crime?
  3. 3 Drug Crimes in Oakland
  4. 4 Demo on Oakland Data
  5. 5 Simulation using Oakland Data
  6. 6 Why fairness?
  7. 7 Overbooking
  8. 8 Pre-Trial Risk Assessment
  9. 9 Public Safety Assessment
  10. 10 Empirical Risk Estimates
  11. 11 Decision-Making Framework
  12. 12 The Plan
  13. 13 Validation of our PSA reproduction code
  14. 14 Accounting for Discrepancies
  15. 15 Results by race
  16. 16 Why accountability?
  17. 17 Risk Assessment for Supervised Release Program
  18. 18 Who did the hand selection benefit?
  19. 19 Why transparency?
  20. 20 Final summary
  21. 21 The Process

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