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Key assumptions
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Classroom Contents
The Measure and Mismeasure of Fairness
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- 1 Quantifying bias in machine decisions
- 2 Summary
- 3 Pretrial detention A detailed case study
- 4 Key assumptions
- 5 From features to decisions
- 6 Risk distributions
- 7 From risk to decisions Threshold rules
- 8 A double standard
- 9 Fairness of a single threshold
- 10 Popular mathematical definitions of fairness
- 11 Discrimination with calibrated scores
- 12 Classification parity
- 13 False positive rate parity
- 14 Error rate disparities in Broward County
- 15 Calculating false positive rates
- 16 Infra-marginality
- 17 The problem with false positive rates
- 18 Are the data biased?
- 19 Biased labels
- 20 Biased predictors
