rri-203-3 (statistical fairness)

[chrisdburr]

The following root file has been created:

• Title: Statistical Fairness
• Module: Fairness
• Skills Track: RRI
• Section: 3

Tasks

• [x] Review root file (Clau)
• [ ] Answer comments (Chris)
• [ ] Draft web version (Clau)
• [ ] Review web version (Chris)
• [ ] Create slides (Chris)
• [ ] Review slides and draft script (Clau)

Link to file: https://github.com/alan-turing-institute/turing-commons/blob/drafts/drafts/rri-skillstrack/root-files/rri-203-3.md

[ClauFischer]

NO CHRIS INPUT NEEDED

• [ ] double check precision and recall def
• [ ] when male and female example is introduced, females have high levels of FP. Does this mean that the model will fail to identify a large number of female patients who need to be sent for further testing [ ] Add barocas et al reference [ ] Important to add that three crtieria for fairness are incompatible between them