626 citations · 969 across the 17 of their papers we have counts for
19 papers
Criminal Justice Risk Assessments with Unreliable Class Assignments
Richard Berk
Quantitative risk assessments have been used for decades to help inform criminal justice decisions. A set of predictors and a categorical response variable are used to train a stat…
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Optimal Transport and Conformal Prediction Sets
Richard A. Berk, Arun Kumar Kuchibhotla, Eric Tchetgen Tchetgen
In the United States and elsewhere, risk assessment algorithms are being used to help inform criminal justice decision-makers. A common intent is to forecast an offender's ``future…
Post-Model-Selection Statistical Inference with Interrupted Time Series Designs: An Evaluation of an Assault Weapons Ban in California
Richard A. Berk
There have been many claims in the media and a bit of respectable research about the causes of variation in firearm sales. The challenges for causal inference can be quite daunting…
Nested Conformal Prediction Sets for Classification with Applications to Probation Data
Arun K. Kuchibhotla, Richard A. Berk
Risk assessments to help inform criminal justice decisions have been used in the United States since the 1920s. Over the past several years, statistical learning risk algorithms ha…
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets
Richard A. Berk, Arun Kumar Kuchibhotla
Risk assessment algorithms have been correctly criticized for potential unfairness, and there is an active cottage industry trying to make repairs. In this paper, we adopt a framew…
Almost Politically Acceptable Criminal Justice Risk Assessment
Richard A. Berk, Ayya A. Elzarka
In criminal justice risk forecasting, one can prove that it is impossible to optimize accuracy and fairness at the same time. One can also prove that it is impossible optimize at o…