v1v2 (latest)

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
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
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
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 67 10 0 08 Feb 2023
Fairness in Matching under Uncertainty Siddartha Devic David Kempe Vatsal Sharan Aleksandra Korolova FaML 78 6 0 08 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness Daniel E. Rigobon FaML 45 1 0 07 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 102 18 0 05 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
Retiring $Δ$ DP: New Distribution-Level Metrics for Demographic Parity Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Helen Zhou 106 4 0 31 Jan 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian Ziebart FaML 51 2 0 31 Jan 2023
Preserving Fairness in AI under Domain Shift Serban Stan Mohammad Rostami 70 2 0 29 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 37 10 0 27 Jan 2023
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification A. Feder Cooper Katherine Lee Madiha Zahrah Choksi Solon Barocas Chris De Sa James Grimmelmann Jon M. Kleinberg Siddhartha Sen Baobao Zhang FaML 83 30 0 27 Jan 2023
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities Melissa Hall Laura Gustafson Aaron B. Adcock Ishan Misra Candace Ross VLM 101 24 0 26 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 137 3 0 25 Jan 2023
From Pseudorandomness to Multi-Group Fairness and Back Cynthia Dwork Daniel Lee Huijia Lin Pranay Tankala FaML 98 11 0 21 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 96 162 0 22 Dec 2022
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 77 11 0 21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data David Pujol Amir Gilad Ashwin Machanavajjhala 79 7 0 20 Dec 2022
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 73 3 0 14 Dec 2022
Ensuring Visual Commonsense Morality for Text-to-Image Generation Seong-Oak Park Suhong Moon Jinkyu Kim 73 2 0 07 Dec 2022
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results Nathanael Jo Bill Tang Kathryn Dullerud S. Aghaei Eric Rice P. Vayanos 65 8 0 04 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 98 41 0 30 Nov 2022
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future P. Hacker AILaw 85 68 0 25 Nov 2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes Tennison Liu Alex J. Chan B. V. Breugel M. Schaar FaML 57 2 0 11 Nov 2022
Zero-shot Visual Commonsense Immorality Prediction Yujin Jeong Seongbeom Park Suhong Moon Jinkyu Kim VLM 39 2 0 10 Nov 2022
Fair and Optimal Classification via Post-Processing Ruicheng Xian Lang Yin Han Zhao FaML 130 32 0 03 Nov 2022
Beyond calibration: estimating the grouping loss of modern neural networks Alexandre Perez-Lebel Marine Le Morvan Gaël Varoquaux UQCV 72 27 0 28 Oct 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 67 15 0 27 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 82 1 0 25 Oct 2022
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 69 2 0 24 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 127 129 0 20 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation Joachim Baumann Christoph Heitz 60 8 0 19 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 107 6 0 14 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 210 13 0 13 Oct 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 78 6 0 12 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 84 23 0 05 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 177 66 0 04 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 163 35 0 30 Sep 2022
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction Jannik Dunkelau Manh Khoi Duong FaML 56 4 0 29 Sep 2022
Fair admission risk prediction with proportional multicalibration William La Cava Elle Lett Guangya Wan 87 8 0 29 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 132 37 0 28 Sep 2022
Experiential Benefits of Interactive Conflict Negotiation Practices in Computer-Supported Shift Planning Alarith Uhde Matthias Laschke Marc Hassenzahl 27 1 0 26 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 118 3 0 22 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 112 48 0 21 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 103 26 0 16 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 79 7 0 16 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 57 36 0 15 Sep 2022
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games Benjamin Fish Luke Stark FaML 77 8 0 12 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 108 5 0 12 Sep 2022
Shapley value-based approaches to explain the robustness of classifiers in machine learning G. D. Pelegrina S. Siraj FAtt 28 3 0 09 Sep 2022