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
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 70 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 70 13 0 08 Sep 2022
Generalization In Multi-Objective Machine Learning Peter Súkeník Christoph H. Lampert AI4CE 85 6 0 29 Aug 2022
LUCID: Exposing Algorithmic Bias through Inverse Design Carmen Mazijn Carina E. A. Prunkl Andres Algaba J. Danckaert Vincent Ginis SyDa 88 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 64 10 0 24 Aug 2022
Enforcing Delayed-Impact Fairness Guarantees Aline Weber Blossom Metevier Yuriy Brun Philip S. Thomas Bruno Castro da Silva FaML 190 10 0 24 Aug 2022
A novel approach for Fair Principal Component Analysis based on eigendecomposition G. D. Pelegrina L. Duarte FaML 70 11 0 24 Aug 2022
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination Mengdi Zhang Jun Sun Jingyi Wang Bing-Jie Sun 69 15 0 24 Aug 2022
Explaining Bias in Deep Face Recognition via Image Characteristics Andrea Atzori Gianni Fenu Mirko Marras FaML CVBM 82 12 0 23 Aug 2022
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits Vishakha Patil V. Nair Ganesh Ghalme Arindam Khan 73 4 0 19 Aug 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 65 5 0 13 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 92 41 0 10 Aug 2022
Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt R. T. Witter 69 17 0 07 Aug 2022
Calibrate: Interactive Analysis of Probabilistic Model Output Peter Xenopoulos Joao Rulff L. G. Nonato Brian Barr Claudio Silva 66 13 0 27 Jul 2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization Rabanus Derr Robert C. Williamson FaML 36 4 0 27 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 126 45 0 22 Jul 2022
AI Fairness: from Principles to Practice A. Bateni Matthew Chan Ray Eitel-Porter 36 4 0 20 Jul 2022
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions José P. Pombal André F. Cruz Joao Bravo Pedro Saleiro Mário A. T. Figueiredo P. Bizarro FaML 63 8 0 13 Jul 2022
Revealing Unfair Models by Mining Interpretable Evidence Mohit Bajaj Lingyang Chu Vittorio Romaniello Gursimran Singh Jian Pei Zirui Zhou Lanjun Wang Yong Zhang FaML 37 0 0 12 Jul 2022
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization Liam Peet-Paré N. Hegde Alona Fyshe FaML 55 4 0 12 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 199 46 0 12 Jul 2022
Fairness and Bias in Robot Learning Laura Londoño Juana Valeria Hurtado Nora Hertz P. Kellmeyer S. Voeneky Abhinav Valada FaML 80 9 0 07 Jul 2022
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 60 17 0 06 Jul 2022
Is your model predicting the past? Moritz Hardt Michael P. Kim 74 11 0 23 Jun 2022
Adversarial Scrutiny of Evidentiary Statistical Software Rediet Abebe Moritz Hardt Angela Jin John Miller Ludwig Schmidt Rebecca Wexler 81 5 0 19 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 111 10 0 14 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 96 29 0 08 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 62 10 0 06 Jun 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs Corinna Hertweck Joachim Baumann M. Loi Eleonora Viganò Christoph Heitz FaML 43 4 0 06 Jun 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 93 11 0 06 Jun 2022
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency Joachim Baumann Anikó Hannák Christoph Heitz FaML 48 25 0 05 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 261 6 0 05 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria Yiqiao Liao Parinaz Naghizadeh Ardabili 86 9 0 31 May 2022
Variable importance without impossible data Masayoshi Mase Art B. Owen Benjamin B. Seiler 73 7 0 31 May 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Yue Liu OOD 104 15 0 31 May 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 196 47 0 26 May 2022
Prismal view of ethics Sarah Isufi Kristijan Poje Igor Vukobratovic Mario Brčič 68 4 0 26 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 63 4 0 24 May 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 77 19 0 23 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification Jianfeng Chi Will Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian FaML 79 14 0 23 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 140 94 0 23 May 2022
The Fairness of Credit Scoring Models Christophe Hurlin C. Pérignon Sébastien Saurin FaML 67 26 0 20 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 39 5 0 19 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 77 23 0 18 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 52 15 0 14 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 72 59 0 11 May 2022
Bias and Fairness on Multimodal Emotion Detection Algorithms Matheus Schmitz Rehan Ahmed Jim Cao FaML 134 13 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 56 15 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 91 32 0 09 May 2022
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches Lindsay Weinberg FaML SyDa 59 60 0 06 May 2022