Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

24 October 2016

Papers citing "Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"

50 / 858 papers shown

Title
Toward A Logical Theory Of Fairness and Bias Vaishak Belle FaML 136 1 0 08 Jun 2023
Doubly Constrained Fair Clustering John P. Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 65 7 0 31 May 2023
Disentangling and Operationalizing AI Fairness at LinkedIn Joaquin Quiñonero Candela Yuwen Wu Brian Hsu Sakshi Jain Jennifer Ramos Jon Adams R. Hallman Kinjal Basu 114 9 0 30 May 2023
Examining risks of racial biases in NLP tools for child protective services Anjalie Field Amanda Coston Nupoor Gandhi Alexandra Chouldechova Emily Putnam-Hornstein David Steier Yulia Tsvetkov 87 14 0 30 May 2023
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 59 1 0 26 May 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 66 6 0 25 May 2023
Deep Learning and Ethics Travis LaCroix Simon J. D. Prince FaML 78 0 0 24 May 2023
Time Fairness in Online Knapsack Problems Adam Lechowicz Rik Sengupta Bo Sun Shahin Kamali Mohammad Hajiesmaili FaML 104 4 0 22 May 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 69 25 0 05 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 64 2 0 04 May 2023
On the Impact of Data Quality on Image Classification Fairness Aki Barry Lei Han Gianluca Demartini 102 5 0 02 May 2023
Coarse race data conceals disparities in clinical risk score performance Rajiv Movva Divya Shanmugam Kaihua Hou P. Pathak John Guttag Nikhil Garg Emma Pierson 88 20 0 18 Apr 2023
Maximal Fairness Marybeth Defrance Tijl De Bie 75 9 0 12 Apr 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification Julien Rouzot Julien Ferry Marie-José Huguet FaML 185 9 0 11 Apr 2023
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks Yuzhen Mao Zhun Deng Huaxiu Yao Ting Ye Kenji Kawaguchi James Zou 75 21 0 08 Apr 2023
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders Mukund Telukunta Venkata Sriram Siddhardh Nadendla 55 0 0 07 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 100 13 0 07 Apr 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa M. Asiedu Awa Dieng Abigail Oppong Margaret Nagawa Sanmi Koyejo Katherine A. Heller 110 11 0 05 Apr 2023
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI Wesley Hanwen Deng Motahhare Eslami Kenneth Holstein 81 1 0 31 Mar 2023
Bias mitigation techniques in image classification: fair machine learning in human heritage collections Dalia Ortiz Pablo Sushruth Badri Erik Norén Christoph Nötzli 72 1 0 20 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 100 19 0 15 Mar 2023
Graph Neural Network Surrogates of Fair Graph Filtering Emmanouil Krasanakis Symeon Papadopoulos 59 1 0 14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 84 1 0 14 Mar 2023
No-regret Algorithms for Fair Resource Allocation Abhishek Sinha Ativ Joshi Rajarshi Bhattacharjee Cameron Musco Mohammad Hajiesmaili FaML 66 8 0 11 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 92 13 0 10 Mar 2023
SoK: Content Moderation for End-to-End Encryption Sarah Scheffler Jonathan R. Mayer 92 24 0 07 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values Adrián Arnaiz-Rodríguez Nuria Oliver FedML TDI 67 2 0 03 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 81 2 0 03 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 79 18 0 01 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 61 20 0 01 Mar 2023
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? Fanny Jourdan Titon Tshiongo Kaninku Nicholas M. Asher Jean-Michel Loubes Laurent Risser FaML 74 4 0 27 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 45 14 0 17 Feb 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 67 21 0 17 Feb 2023
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction Falaah Arif Khan Julia Stoyanovich FaML VLM CML 20 3 0 17 Feb 2023
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers Melissa Hall Bobbie Chern Laura Gustafson Denisse Ventura Harshad Kulkarni Candace Ross Nicolas Usunier 63 6 0 16 Feb 2023
On the Impact of Explanations on Understanding of Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 120 17 0 16 Feb 2023
Individual Fairness under Uncertainty Wenbin Zhang Zichong Wang Juyong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 89 12 0 16 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 67 5 0 13 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 63 21 0 13 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 85 12 0 11 Feb 2023
On Fairness and Stability: Is Estimator Variance a Friend or a Foe? Falaah Arif Khan Denys Herasymuk Julia Stoyanovich 43 3 0 09 Feb 2023
Local Law 144: A Critical Analysis of Regression Metrics Giulio Filippi Sara Zannone Airlie Hilliard Adriano Soares Koshiyama MLAU 21 3 0 08 Feb 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 60 10 0 08 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods Dawen Zhang Shidong Pan Thong Hoang Zhenchang Xing Mark Staples Xiwei Xu Lina Yao Qinghua Lu Liming Zhu MU 67 20 0 07 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 65 8 0 06 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 49 0 0 05 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 61 1 0 03 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 88 22 0 02 Feb 2023
On the Within-Group Fairness of Screening Classifiers Nastaran Okati Stratis Tsirtsis Manuel Gomez Rodriguez 100 2 0 31 Jan 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian Ziebart FaML 46 2 0 31 Jan 2023