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
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 21 9 0 13 May 2021
Hard Choices and Hard Limits for Artificial Intelligence B. Goodman 22 4 0 04 May 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning Cyrus Cousins FaML 21 27 0 29 Apr 2021
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? Kenneth Holstein Shayan Doroudi 9 34 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 11 2 0 09 Apr 2021
Individual Explanations in Machine Learning Models: A Survey for Practitioners Alfredo Carrillo Luis F. Cantú Alejandro Noriega FaML 24 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 13 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 25 143 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 28 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 19 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 29 45 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 19 27 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 35 74 0 10 Mar 2021
Multicalibrated Partitions for Importance Weights Parikshit Gopalan Omer Reingold Vatsal Sharan Udi Wieder 21 11 0 10 Mar 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 29 49 0 03 Mar 2021
Approximation Algorithms for Socially Fair Clustering Yury Makarychev A. Vakilian 30 46 0 03 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 35 113 0 02 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 36 94 0 02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 157 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 27 14 0 22 Feb 2021
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem Adarsh Barik Jean Honorio FaML 24 7 0 19 Feb 2021
Towards the Right Kind of Fairness in AI Boris Ruf Marcin Detyniecki 58 26 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 54 55 0 16 Feb 2021
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment Ganesh Ghalme V. Nair Vishakha Patil Yilun Zhou 24 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 24 30 0 12 Feb 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 11 17 0 11 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 16 24 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 31 16 0 03 Feb 2021
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research A. Feder Cooper Ellen Abrams FaML 25 60 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 23 66 0 01 Feb 2021
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research Elija Perrier 22 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 38 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 30 25 0 18 Jan 2021
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 44 59 0 16 Jan 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta Aaron Ferber B. Dilkina Greg Ver Steeg 34 53 0 11 Jan 2021
Online Multivalid Learning: Means, Moments, and Prediction Intervals Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 44 39 0 05 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 16 38 0 09 Dec 2020
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives Angie Peng Jeffrey Naecker B. Hutchinson A. Smart Nyalleng Moorosi 38 0 0 08 Dec 2020
Stronger Calibration Lower Bounds via Sidestepping Mingda Qiao Gregory Valiant 44 18 0 07 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 46 85 0 05 Dec 2020
Feedback Effects in Repeat-Use Criminal Risk Assessments Benjamin Laufer 8 0 0 28 Nov 2020
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 22 61 0 26 Nov 2020
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification Youngseog Chung Willie Neiswanger I. Char J. Schneider UQCV 18 87 0 18 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 22 247 0 15 Nov 2020
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration Shengjia Zhao Stefano Ermon 16 8 0 15 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 27 66 0 08 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer B. Bischl Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 19 18 0 04 Nov 2020
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 27 5 0 03 Nov 2020
Inherent Trade-offs in the Fair Allocation of Treatments Yuzi He Keith Burghardt Siyi Guo Kristina Lerman FaML 11 5 0 30 Oct 2020