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 / 736 papers shown

Title
Fair Active Learning in Low-Data Regimes Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin Jamieson FaML 30 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 28 6 0 11 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 40 1 0 05 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 32 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 33 3 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 21 1 0 21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing Mulah Moriah Franck Vermet Arthur Charpentier 11 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 17 2 0 13 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 41 7 0 12 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 27 2 0 05 Nov 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 27 6 0 31 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 33 12 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 35 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 18 0 0 23 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 29 3 0 17 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 21 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 Nguyen Hal Daumé 26 6 0 12 Oct 2023
Fair Classifiers that Abstain without Harm Tongxin Yin Jean-François Ton Ruocheng Guo Yuanshun Yao Mingyan Liu Yang Liu 25 4 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 33 5 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 26 3 0 08 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination John Y. Zhu 21 0 0 06 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 33 2 0 06 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms James Brookhouse Alex Freitas FaML 11 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 36 29 0 16 Sep 2023
Re-formalization of Individual Fairness Toshihiro Kamishima FaML 11 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 19 0 0 04 Sep 2023
Fairness in Ranking under Disparate Uncertainty Richa Rastogi Thorsten Joachims 35 3 0 04 Sep 2023
(Un)fair Exposure in Deep Face Rankings at a Distance Andrea Atzori Gianni Fenu Mirko Marras CVBM 38 1 0 22 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription Xiangming Gu Weizhen Zeng Ye Wang 25 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 24 4 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 39 1 0 28 Jul 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment Sen Cui Weishen Pan Changshui Zhang Fei Wang 9 10 0 27 Jul 2023
Explainable Disparity Compensation for Efficient Fair Ranking A. Gale A. Marian 9 0 0 25 Jul 2023
On the Vulnerability of Fairness Constrained Learning to Malicious Noise Avrim Blum Princewill Okoroafor Aadirupa Saha Kevin Stangl 29 1 0 21 Jul 2023
Navigating Fairness Measures and Trade-Offs Stefan Buijsman 23 8 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 19 10 0 06 Jul 2023
Algorithms, Incentives, and Democracy E. M. Penn John W. Patty FaML 30 2 0 05 Jul 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 28 11 0 30 Jun 2023
Insights From Insurance for Fair Machine Learning Christiane Fröhlich Robert C. Williamson FaML 28 6 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Correcting Underrepresentation and Intersectional Bias for Classification Emily Diana A. Tolbert FaML 21 1 0 19 Jun 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Xia Hu 44 26 0 15 Jun 2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity Lisa Koutsoviti Koumeri Magali Legast Yasaman Yousefi K. Vanhoof Axel Legay Christoph Schommer FaML 30 5 0 14 Jun 2023
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice Wesley Hanwen Deng Nuri Yildirim Monica Chang Motahhare Eslami Kenneth Holstein Michael A. Madaio 34 43 0 10 Jun 2023
Are fairness metric scores enough to assess discrimination biases in machine learning? Fanny Jourdan Laurent Risser Jean-Michel Loubes Nicholas M. Asher FaML 16 5 0 08 Jun 2023
Proximity-Informed Calibration for Deep Neural Networks Miao Xiong Ailin Deng Pang Wei Koh Jiaying Wu Shen Li Jianqing Xu Bryan Hooi UQCV 23 12 0 07 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 26 7 0 06 Jun 2023
Doubly Constrained Fair Clustering John P. Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 17 5 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 21 9 0 30 May 2023
Optimization's Neglected Normative Commitments Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 21 4 0 27 May 2023