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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
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim Alabdulmohsin Mario Lucic 58 22 0 06 Jun 2021
Towards Fairness Certification in Artificial Intelligence Tatiana Tommasi S. Bucci Barbara Caputo P. Asinari FaML 35 3 0 04 Jun 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret David Lindner Hoda Heidari Andreas Krause OffRL 60 6 0 02 Jun 2021
Information Theoretic Measures for Fairness-aware Feature Selection S. Khodadadian M. Nafea AmirEmad Ghassami Negar Kiyavash 58 8 0 01 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 59 192 0 01 Jun 2021
Model Mis-specification and Algorithmic Bias Runshan Fu Yang Liang Peter Zhang 29 0 0 31 May 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking Zhiyi Ma Kawin Ethayarajh Tristan Thrush Somya Jain Ledell Yu Wu Robin Jia Christopher Potts Adina Williams Douwe Kiela ELM 115 59 0 21 May 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 134 39 0 20 May 2021
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective Flavien Prost Pranjal Awasthi Nicholas Blumm A. Kumthekar Trevor Potter Li Wei Xuezhi Wang Ed H. Chi Jilin Chen Alex Beutel 90 16 0 20 May 2021
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education Michael A. Madaio Su Lin Blodgett Elijah Mayfield Ezekiel Dixon-Román 41 30 0 18 May 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 112 14 0 15 May 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 72 51 0 14 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 123 9 0 13 May 2021
Hard Choices and Hard Limits for Artificial Intelligence B. Goodman 36 4 0 04 May 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning Cyrus Cousins FaML 120 28 0 29 Apr 2021
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? Kenneth Holstein Shayan Doroudi 63 36 0 27 Apr 2021
Individual Explanations in Machine Learning Models: A Case Study on Poverty Estimation Alfredo Carrillo Luis F. Cantú Luis Tejerina Alejandro Noriega 23 3 0 09 Apr 2021
Individual Explanations in Machine Learning Models: A Survey for Practitioners Alfredo Carrillo Luis F. Cantú Alejandro Noriega FaML 31 15 0 09 Apr 2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing Mohammad Mahdi Kamani R. Forsati Jianmin Wang M. Mahdavi FaML 96 11 0 04 Apr 2021
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 68 155 0 22 Mar 2021
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning Zo Ahmed Bertie Vidgen Scott A. Hale 49 3 0 22 Mar 2021
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations Marzieh Karimi-Haghighi Carlos Castillo Davinia Hernández Leo Verónica Moreno Oliver FaML 53 6 0 16 Mar 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning Hantian Zhang Xu Chu Abolfazl Asudeh S. Navathe FaML VLM 82 46 0 13 Mar 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems Chloé Bakalar Renata Barreto Stevie Bergman Miranda Bogen Bobbie Chern ... J. Simons Jonathan Tannen Edmund Tong Kate Vredenburgh Jiejing Zhao FaML 123 28 0 10 Mar 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs Solon Barocas Anhong Guo Ece Kamar J. Krones Meredith Ringel Morris Jennifer Wortman Vaughan Duncan Wadsworth Hanna M. Wallach 80 79 0 10 Mar 2021
Multicalibrated Partitions for Importance Weights Parikshit Gopalan Omer Reingold Vatsal Sharan Udi Wieder 60 12 0 10 Mar 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 85 50 0 03 Mar 2021
Approximation Algorithms for Socially Fair Clustering Yury Makarychev A. Vakilian 88 50 0 03 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 70 117 0 02 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 129 96 0 02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 183 163 0 25 Feb 2021
Local Calibration: Metrics and Recalibration Rachel Luo Aadyot Bhatnagar Yu Bai Shengjia Zhao Huan Wang Caiming Xiong Silvio Savarese Stefano Ermon Edward Schmerling Marco Pavone 87 15 0 22 Feb 2021
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem Adarsh Barik Jean Honorio FaML 46 7 0 19 Feb 2021
Towards the Right Kind of Fairness in AI Boris Ruf Marcin Detyniecki 91 27 0 16 Feb 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 95 58 0 16 Feb 2021
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment Ganesh Ghalme V. Nair Vishakha Patil Yilun Zhou 76 5 0 14 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 67 30 0 12 Feb 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 93 19 0 11 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 123 25 0 05 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 50 16 0 03 Feb 2021
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research A. Feder Cooper Ellen Abrams FaML 101 63 0 01 Feb 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems H. Cheng Logan Stapleton Ruiqi Wang Paige E Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu FaML 66 70 0 01 Feb 2021
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research Elija Perrier 63 2 0 30 Jan 2021
Distilling Interpretable Models into Human-Readable Code Walker Ravina Ethan Sterling Olexiy Oryeshko Nathan Bell Honglei Zhuang Xuanhui Wang Yonghui Wu Alexander Grushetsky 64 2 0 21 Jan 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 104 26 0 18 Jan 2021
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 170 62 0 16 Jan 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta Aaron Ferber B. Dilkina Greg Ver Steeg 113 58 0 11 Jan 2021
Online Multivalid Learning: Means, Moments, and Prediction Intervals Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 107 44 0 05 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 324 500 0 31 Dec 2020
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 76 41 0 09 Dec 2020