Motivations for types of fairness
Summary
The data and formal precision of predictive algorithms make evident certain kinds of unfairness. There are many ideas about how to make algorithms more fair, and this week we will consider a few examples of statistical definitions of fairness.
References
Assigned reading
- Inherent Trade-Offs in the Fair Determination of Risk Scores read Section 1 through the statement of Theorem 1.1, and also read the Conclusion (Section 5).
- FairML Book Chapter 4 on Relative notions of fairness, beginning with the section on Intentionality and indirect discrimination.