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
Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory M. Loi Christoph Heitz FaML 38 15 0 11 May 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 98 63 0 11 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 89 32 0 09 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 85 80 0 06 May 2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness Xudong Han Aili Shen Yitong Li Lea Frermann Timothy Baldwin Trevor Cohn VLM FaML 79 12 0 04 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 56 3 0 29 Apr 2022
On the Relationship Between Explanations, Fairness Perceptions, and Decisions Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 83 6 0 27 Apr 2022
Spending Privacy Budget Fairly and Wisely Lucas Rosenblatt Joshua Allen Julia Stoyanovich 63 4 0 27 Apr 2022
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias Anoop Kadan Manjary P.Gangan Deepak P L. LajishV. AI4CE 91 10 0 21 Apr 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 66 3 0 18 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 67 3 0 13 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 92 45 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 119 339 0 06 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 95 40 0 06 Apr 2022
Models and Mechanisms for Spatial Data Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 68 10 0 04 Apr 2022
Addressing Missing Sources with Adversarial Support-Matching T. Kehrenberg Myles Bartlett V. Sharmanska Novi Quadrianto 22 1 0 24 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 96 15 0 23 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen Pfohl Marzyeh Ghassemi 85 67 0 23 Mar 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 87 77 0 22 Mar 2022
Repairing Regressors for Fair Binary Classification at Any Decision Threshold Kweku Kwegyir-Aggrey A. Feder Cooper Jessica Dai John P Dickerson Keegan E. Hines Suresh Venkatasubramanian FaML 109 7 0 14 Mar 2022
Towards Equal Opportunity Fairness through Adversarial Learning Xudong Han Timothy Baldwin Trevor Cohn FaML 55 8 0 12 Mar 2022
Evaluating Proposed Fairness Models for Face Recognition Algorithms John J. Howard Eli J. Laird Yevgeniy B. Sirotin Rebecca E. Rubin Jerry L. Tipton A. Vemury CVBM 61 24 0 09 Mar 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 70 18 0 08 Mar 2022
Judging the algorithm: A case study on the risk assessment tool for gender-based violence implemented in the Basque country Ana Valdivia Cari Hyde-Vaamonde Julián García-Marcos 26 2 0 01 Mar 2022
Fast Feature Selection with Fairness Constraints Francesco Quinzan Rajiv Khanna Moshik Hershcovitch S. Cohen Daniel Waddington Tobias Friedrich Michael W. Mahoney 51 4 0 28 Feb 2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 69 6 0 25 Feb 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 98 1 0 24 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 49 12 0 24 Feb 2022
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning Hilde J. P. Weerts Lambèr M. M. Royakkers Mykola Pechenizkiy FaML 36 8 0 17 Feb 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 55 0 0 16 Feb 2022
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables S. Centorrino J. Florens Jean-Michel Loubes FaML 97 1 0 16 Feb 2022
Fairness Indicators for Systematic Assessments of Visual Feature Extractors Priya Goyal Adriana Romero Soriano C. Hazirbas Levent Sagun Nicolas Usunier EGVM 75 31 0 15 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 65 14 0 07 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 102 54 0 07 Feb 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 69 32 0 03 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 88 11 0 03 Feb 2022
Fair Representation Clustering with Several Protected Classes Zhen Dai Yury Makarychev A. Vakilian FaML 120 9 0 03 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 102 18 0 02 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 61 0 0 02 Feb 2022
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems Mostafa M. Mohamed Björn W. Schuller 54 6 0 02 Feb 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence Peizhao Li Hongfu Liu TDI 90 51 0 01 Feb 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 164 30 0 31 Jan 2022
A Systematic Study of Bias Amplification Melissa Hall Laurens van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 151 77 0 27 Jan 2022
Handling Bias in Toxic Speech Detection: A Survey Tanmay Garg Sarah Masud Tharun Suresh Tanmoy Chakraborty 118 98 0 26 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 162 8 0 26 Jan 2022
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery Aida Rahmattalabi P. Vayanos Kathryn Dullerud Eric Rice 61 21 0 25 Jan 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 92 13 0 24 Jan 2022
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 74 6 0 22 Jan 2022
Visual Identification of Problematic Bias in Large Label Spaces Alex Bauerle Aybuke Turker Ken Burke Osman Aka Timo Ropinski Christina Greer Mani Varadarajan 63 1 0 17 Jan 2022
Fair Interpretable Learning via Correction Vectors Mattia Cerrato Marius Köppel A. Segner Stefan Kramer FaML CML 48 2 0 17 Jan 2022