Identifying biases in legal data: An algorithmic fairness perspective

Data preprocessing to mitigate bias: A maximum entropy based approach

Original

L. Elisa Celis, Vijay Keswani, and Nisheeth K. Vishnoi. 2020 · 1906

Earlier work this paper cites.

Racial, Ethnic, and Gender Disparities in Sentencing: Evidence from the U.S. Federal Courts

David B. Mustard. 2001 · 2001

Earlier work this paper cites.

Reviewing the Sentencing Guidelines: Judicial Politics, Empirical Evidence, and Reform

Original

Max M. Schanzenbach and Emerson H. Tiller. 2007 · 2007

Earlier work this paper cites.

Discrimination-Aware Data Mining (KDD ’08) . Association for Computing Machinery, New York, NY, USA, 560–568

Dino Pedreshi, Salvatore Ruggieri, and Franco Turini. 2008 · 2008

Earlier work this paper cites.

Fairness through Awareness. In Proceedings of the 3rd Innovations in Theoretical Computer Science Conference (Cambridge, Massachusetts) (ITCS ’12) . Association for Computing Machinery, New York, NY, USA, 214–226

Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. 2012 · 2012

Earlier work this paper cites.

An Introduction to Statistical Learning: with Applications in R

Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2013 · 2013

Earlier work this paper cites.

Racial Disparity in Federal Criminal Sentences

M. Marit Rehavi and Sonja B. Starr. 2014 · 2014

Earlier work this paper cites.

Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments

Alexandra Chouldechova. 2017 · 2016

Cited alongside, same era.

Equality of Opportunity in Supervised Learning. In Proceedings of the 30th International Conference on Neural Information Processing Systems (NIPS’16) . 3323–3331

Moritz Hardt, Eric Price, and Nathan Srebro. 2016 · 2016

Cited alongside, same era.

Judges, Juveniles, and In-Group Bias

Briggs Depew, Ozkan Eren, and N. Mocan. 2017 · 2017

Cited alongside, same era.

A Reductions Approach to Fair Classification

Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, and Hanna Wallach. 2018 · 2018

Cited alongside, same era.

Human Decisions and Machine Predictions

J. Kleinberg, H. Lakkaraju, J. Leskovec, Jens Ludwig, and S. Mullainathan. 2018 · 2018

Cited alongside, same era.

Judicial Politics and Sentencing Decisions

AI is sending people to jail—and getting it wrong

K. Hao. 2019 · 2019

Later among the works it cites.

Bias in the law : a definitive look at racial prejudice in the U.S. criminal justice system/ edited by Joseph Avery and Joel Cooper

Amanda Nicholson Bergold, Gregory Davis, Oana Dumitru, Asma Ghani, Rachel D Godsil, Rebecca C Hetey, Margaret Bull Kovera, Besiki Luka Kutateladze, Andrea Lyon, Naci Mocan, et al · 2020

Later among the works it cites.

Fairlearn: A toolkit for assessing and improving fairness in AI

Sarah Bird, Miro Dudík, Richard Edgar, Brandon Horn, Roman Lutz, Vanessa Milan, Mehrnoosh Sameki, Hanna Wallach, and Kathleen Walker. 2020 · 2020

Later among the works it cites.

JUSTFAIR: Judicial System Transparency through Federal Archive Inferred Records

Maria-Veronica Ciocanel, Chad M. Topaz, Rebecca Santorella, Shilad Sen, Christian Michael Smith, and Adam Hufstetler. 2020 · 2020

Later among the works it cites.

Algorithms as discrimination detectors

Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan, and Cass R. Sunstein. 2020 · 2020

Later among the works it cites.