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Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

50 / 747 papers shown

Title
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth Serdar Kadioğlu Filip Michalsky 44 2 0 12 Feb 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning Gabriel Simmons Vladislav Savinov 49 1 0 12 Feb 2024
Regression Trees for Fast and Adaptive Prediction Intervals Luben M. C. Cabezas Mateus P. Otto Rafael Izbicki R. Stern 105 4 0 12 Feb 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris Agathe Fernandes Machado Franccois Hu Philipp Ratz Ewen Gallic Arthur Charpentier 97 1 0 29 Jan 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity Andrew Bell Joao Fonseca Carlo Abrate Francesco Bonchi Julia Stoyanovich FaML 118 2 0 29 Jan 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 100 8 0 26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective Xuechen Zhang Mingchen Li Jiasi Chen Christos Thrampoulidis Samet Oymak 97 3 0 25 Jan 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 84 1 0 24 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models Shih-Chi Ma Tatiana Ermakova Benjamin Fabian FaML 70 0 0 04 Jan 2024
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 67 6 0 27 Dec 2023
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems Kimi Wenzel Geoff F. Kaufman Laura A. Dabbish FaML 65 0 0 19 Dec 2023
Fair Active Learning in Low-Data Regimes Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin Jamieson FaML 59 1 0 13 Dec 2023
The Limits of Fair Medical Imaging AI In The Wild Yuzhe Yang Haoran Zhang Judy W. Gichoya Dina Katabi Marzyeh Ghassemi 77 6 0 11 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 125 1 0 05 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 73 6 0 30 Nov 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata Mark Díaz Sunipa Dev Emily Reif Remi Denton Vinodkumar Prabhakaran 103 4 0 28 Nov 2023
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 77 3 0 21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing Mulah Moriah Franck Vermet Arthur Charpentier 77 1 0 20 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 57 2 0 13 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 57 7 0 12 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 52 2 0 05 Nov 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 99 10 0 31 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 82 16 0 30 Oct 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts Elliott Ash Naman Goel Nianyun Li Claudia Marangon Peiyao Sun 162 2 0 28 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness Zachary McBride Lazri Ivan Brugere Xin Tian Dana Dachman-Soled Antigoni Polychroniadou Danial Dervovic Min Wu 70 1 0 23 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 99 5 0 17 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 52 2 0 16 Oct 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Navita Goyal Connor Baumler Tin Trung Nguyen Hal Daumé 89 8 0 12 Oct 2023
Fair Classifiers that Abstain without Harm Tongxin Yin Jean-François Ton Ruocheng Guo Yuanshun Yao Mingyan Liu Yang Liu 62 5 0 09 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 67 6 0 09 Oct 2023
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 90 3 0 08 Oct 2023
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems Zhenghai Xue Qingpeng Cai Tianyou Zuo Bin Yang Lantao Hu Peng Jiang Kun Gai 53 3 0 06 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination John Y. Zhu 68 0 0 06 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms James Brookhouse Alex Freitas FaML 48 2 0 04 Oct 2023
Bias and Fairness in Chatbots: An Overview Jintang Xue Yun Cheng Wang Chengwei Wei Xiaofeng Liu Jonghye Woo C.-C. Jay Kuo 115 35 0 16 Sep 2023
Re-formalization of Individual Fairness Toshihiro Kamishima FaML 27 0 0 11 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments James Enouen Tianshu Sun Yan Liu FaML 60 0 0 04 Sep 2023
Fairness in Ranking under Disparate Uncertainty Richa Rastogi Thorsten Joachims 96 3 0 04 Sep 2023
(Un)fair Exposure in Deep Face Rankings at a Distance Andrea Atzori Gianni Fenu Mirko Marras CVBM 82 1 0 22 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 80 3 0 05 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity S. Kim Stefan Lessmann G. Andreeva Michael Rovatsos FaML 71 5 0 01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 97 1 0 28 Jul 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment Sen Cui Weishen Pan Changshui Zhang Fei Wang 57 12 0 27 Jul 2023
Explainable Disparity Compensation for Efficient Fair Ranking A. Gale A. Marian 26 0 0 25 Jul 2023
On the Vulnerability of Fairness Constrained Learning to Malicious Noise Avrim Blum Princewill Okoroafor Aadirupa Saha Kevin Stangl 74 2 0 21 Jul 2023
Navigating Fairness Measures and Trade-Offs Stefan Buijsman 43 9 0 17 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching N. Shahbazi Nikola Danevski F. Nargesian Abolfazl Asudeh D. Srivastava 49 10 0 06 Jul 2023
Algorithms, Incentives, and Democracy E. M. Penn John W. Patty FaML 67 1 0 05 Jul 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 83 12 0 30 Jun 2023
Insights From Insurance for Fair Machine Learning Christiane Fröhlich Robert C. Williamson FaML 70 8 0 26 Jun 2023