2 papers
stat.ML2021
The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment
Jesse Russell
This paper explores how different ideas of racial equity in machine learning, in justice settings in particular, can present trade-offs that are difficult to solve computationally.…
cs.CY2020
Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives
Jesse Russell
Machine learning best practice statements have proliferated, but there is a lack of consensus on what the standards should be. For fairness standards in particular, there is little…