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
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities Melissa Hall Laura Gustafson Aaron B. Adcock Ishan Misra Candace Ross VLM 40 22 0 26 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 27 2 0 25 Jan 2023
From Pseudorandomness to Multi-Group Fairness and Back Cynthia Dwork Daniel Lee Huijia Lin Pranay Tankala FaML 29 9 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 26 160 0 22 Dec 2022
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 33 10 0 21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data David Pujol Amir Gilad Ashwin Machanavajjhala 25 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 34 2 0 14 Dec 2022
Ensuring Visual Commonsense Morality for Text-to-Image Generation Seong-Oak Park Suhong Moon Jinkyu Kim 16 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 13 7 0 04 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 32 0 30 Nov 2022
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future P. Hacker AILaw 26 59 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 25 2 0 11 Nov 2022
Zero-shot Visual Commonsense Immorality Prediction Yujin Jeong Seongbeom Park Suhong Moon Jinkyu Kim VLM 21 1 0 10 Nov 2022
Fair and Optimal Classification via Post-Processing Ruicheng Xian Lang Yin Han Zhao FaML 21 30 0 03 Nov 2022
Beyond calibration: estimating the grouping loss of modern neural networks Alexandre Perez-Lebel Marine Le Morvan Gaël Varoquaux UQCV 11 26 0 28 Oct 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 22 14 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 38 1 0 25 Oct 2022
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 19 2 0 24 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 36 117 0 20 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation Joachim Baumann Christoph Heitz 31 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 28 6 0 14 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 51 11 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 21 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 44 21 0 05 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 79 59 0 04 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 61 34 0 30 Sep 2022
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction Jannik Dunkelau Manh Khoi Duong FaML 19 4 0 29 Sep 2022
Fair admission risk prediction with proportional multicalibration William La Cava Elle Lett Guangya Wan 37 7 0 29 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 80 35 0 28 Sep 2022
Experiential Benefits of Interactive Conflict Negotiation Practices in Computer-Supported Shift Planning Alarith Uhde Matthias Laschke Marc Hassenzahl 11 2 0 26 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 7 2 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 43 46 0 21 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 38 25 0 16 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 35 7 0 16 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 24 31 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 32 8 0 12 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 34 5 0 12 Sep 2022
Shapley value-based approaches to explain the robustness of classifiers in machine learning G. D. Pelegrina S. Siraj FAtt 21 3 0 09 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 24 1 0 08 Sep 2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making Nina Grgic-Hlaca C. Castelluccia Krishna P. Gummadi HAI 35 12 0 08 Sep 2022
Generalization In Multi-Objective Machine Learning Peter Súkeník Christoph H. Lampert AI4CE 31 5 0 29 Aug 2022
LUCID: Exposing Algorithmic Bias through Inverse Design Carmen Mazijn Carina E. A. Prunkl Andres Algaba J. Danckaert Vincent Ginis SyDa 37 4 0 26 Aug 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all? Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 27 10 0 24 Aug 2022
Enforcing Delayed-Impact Fairness Guarantees Aline Weber Blossom Metevier Yuriy Brun Philip S. Thomas Bruno Castro da Silva FaML 30 9 0 24 Aug 2022
A novel approach for Fair Principal Component Analysis based on eigendecomposition G. D. Pelegrina L. Duarte FaML 22 11 0 24 Aug 2022
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination Mengdi Zhang Jun Sun Jingyi Wang Bing-Jie Sun 16 14 0 24 Aug 2022
Explaining Bias in Deep Face Recognition via Image Characteristics Andrea Atzori Gianni Fenu Mirko Marras FaML CVBM 33 11 0 23 Aug 2022
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits Vishakha Patil V. Nair Ganesh Ghalme Arindam Khan 22 4 0 19 Aug 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 19 4 0 13 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 26 40 0 10 Aug 2022