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 / 871 papers shown

Title
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Zelong Li FaML OffRL 250 65 0 26 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 111 30 0 26 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 95 4 0 24 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 209 116 0 23 May 2022
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score John P. Lalor Hong Guo 50 1 0 20 May 2022
The Fairness of Credit Scoring Models Christophe Hurlin C. Pérignon Sébastien Saurin FaML 96 28 0 20 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 143 18 0 20 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 96 24 0 18 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 107 21 0 18 May 2022
Fair Bayes-Optimal Classifiers Under Predictive Parity Xianli Zeng Guang Cheng Guang Cheng FaML 146 16 0 15 May 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law Thierry Kirat Olivia Tambou Virginie Do A. Tsoukiás FaML 82 15 0 14 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 145 103 0 13 May 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 115 60 0 11 May 2022
Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory M. Loi Christoph Heitz FaML 114 15 0 11 May 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 123 66 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 107 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 122 81 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 104 11 0 04 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 96 3 0 29 Apr 2022
On the Relationship Between Explanations, Fairness Perceptions, and Decisions Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 109 7 0 27 Apr 2022
Spending Privacy Budget Fairly and Wisely Lucas Rosenblatt Joshua Allen Julia Stoyanovich 85 5 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 120 10 0 21 Apr 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 101 3 0 18 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 89 3 0 13 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 130 47 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 183 369 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 104 43 0 06 Apr 2022
Models and Mechanisms for Spatial Data Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 128 10 0 04 Apr 2022
Addressing Missing Sources with Adversarial Support-Matching T. Kehrenberg Myles Bartlett V. Sharmanska Novi Quadrianto 47 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 126 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 116 75 0 23 Mar 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 128 95 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 144 8 0 14 Mar 2022
Towards Equal Opportunity Fairness through Adversarial Learning Xudong Han Timothy Baldwin Trevor Cohn FaML 84 9 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 82 26 0 09 Mar 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 85 19 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 35 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 100 4 0 28 Feb 2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 93 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 157 1 0 24 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 95 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 81 9 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 76 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 127 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 107 32 0 15 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 97 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 160 59 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 98 32 0 03 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 110 11 0 03 Feb 2022
Fair Representation Clustering with Several Protected Classes Zhen Dai Yury Makarychev A. Vakilian FaML 145 11 0 03 Feb 2022