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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
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 117 11 0 12 Nov 2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Yang Liu FaML 116 180 0 08 Nov 2018
An exploration of algorithmic discrimination in data and classification Martin Wahl Jiuyong Li Feiyue Ye Lin Liu T. Le Ping Xiong 59 1 0 06 Nov 2018
FairMod - Making Predictive Models Discrimination Aware Jixue Liu Jiuyong Li Lin Liu T. Le Feiyue Ye Gefei Li 20 1 0 05 Nov 2018
The Price of Fair PCA: One Extra Dimension Samira Samadi U. Tantipongpipat Jamie Morgenstern Mohit Singh Santosh Vempala FaML 139 158 0 31 Oct 2018
Crowdsourcing with Fairness, Diversity and Budget Constraints Naman Goel Boi Faltings FaML 87 20 0 31 Oct 2018
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing Bettina Berendt 62 75 0 30 Oct 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 65 29 0 28 Oct 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 205 416 0 20 Oct 2018
Discovering Fair Representations in the Data Domain Novi Quadrianto V. Sharmanska Oliver Thomas 82 3 0 15 Oct 2018
Tuning Fairness by Balancing Target Labels T. Kehrenberg Zexun Chen Novi Quadrianto 79 4 0 12 Oct 2018
Understanding the Origins of Bias in Word Embeddings Marc-Etienne Brunet Colleen Alkalay-Houlihan Ashton Anderson R. Zemel FaML 85 202 0 08 Oct 2018
From Soft Classifiers to Hard Decisions: How fair can we be? R. Canetti A. Cohen Nishanth Dikkala Govind Ramnarayan Sarah Scheffler Adam D. Smith FaML 157 60 0 03 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 136 813 0 03 Oct 2018
Active Fairness in Algorithmic Decision Making Alejandro Noriega-Campero Michiel A. Bakker Bernardo Garcia-Bulle Alex Pentland FaML 82 85 0 28 Sep 2018
Evaluating Fairness Metrics in the Presence of Dataset Bias J. Hinnefeld Peter Cooman Nat Mammo Rupert Deese FaML 54 37 0 24 Sep 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds Yongkai Wu Lu Zhang Xintao Wu FaML 62 27 0 13 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 71 68 0 12 Sep 2018
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability Jon M. Kleinberg S. Mullainathan 66 70 0 12 Sep 2018
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity Hoda Heidari M. Loi Krishna P. Gummadi Andreas Krause FaML 85 121 0 10 Sep 2018
Fair Algorithms for Learning in Allocation Problems Hadi Elzayn S. Jabbari Christopher Jung Michael Kearns Seth Neel Aaron Roth Zachary Schutzman FaML 97 96 0 30 Aug 2018
The implicit fairness criterion of unconstrained learning Lydia T. Liu Max Simchowitz Moritz Hardt FedML FaML 65 1 0 29 Aug 2018
Investigating Human + Machine Complementarity for Recidivism Predictions S. Tan Julius Adebayo K. Quinn Ece Kamar FaML 69 54 0 28 Aug 2018
Downstream Effects of Affirmative Action Sampath Kannan Aaron Roth Juba Ziani 81 87 0 27 Aug 2018
Avoiding Disparity Amplification under Different Worldviews Samuel Yeom Michael Carl Tschantz 119 20 0 26 Aug 2018
An Empirical Study of Rich Subgroup Fairness for Machine Learning Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 115 209 0 24 Aug 2018
Approximation Trees: Statistical Stability in Model Distillation Yichen Zhou Zhengze Zhou Giles Hooker 162 23 0 22 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 57 5 0 06 Aug 2018
Confidence Intervals for Testing Disparate Impact in Fair Learning Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes CML 56 18 0 17 Jul 2018
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach Yeounoh Chung Tim Kraska N. Polyzotis Ki Hyun Tae Steven Euijong Whang 119 131 0 16 Jul 2018
Welfare and Distributional Impacts of Fair Classification Lily Hu Yiling Chen FaML 67 24 0 03 Jul 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 106 265 0 02 Jul 2018
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics Roel Dobbe Sarah Dean T. Gilbert Nitin Kohli 100 40 0 02 Jul 2018
Gradient Reversal Against Discrimination Edward Raff Jared Sylvester 76 38 0 01 Jul 2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction C. Wadsworth Francesca Vera Chris Piech FaML 99 180 0 30 Jun 2018
Equalizing Financial Impact in Supervised Learning Govind Ramnarayan FaML 23 1 0 24 Jun 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 154 585 0 20 Jun 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 117 127 0 15 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 253 310 0 15 Jun 2018
Comparing Fairness Criteria Based on Social Outcome Junpei Komiyama Hajime Shimao FaML 59 3 0 13 Jun 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making Hoda Heidari Claudio Ferrari Krishna P. Gummadi Andreas Krause 105 133 0 13 Jun 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus Angela Zhou FaML 197 136 0 07 Jun 2018
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour Emilia Gómez Carlos Castillo V. Charisi V. Dahl G. Deco ... Núria Sebastián Xavier Serra Joan Serrà Songül Tolan Karina Vold 65 11 0 07 Jun 2018
Causal Interventions for Fairness Matt J. Kusner Chris Russell Joshua R. Loftus Ricardo M. A. Silva FaML 133 14 0 06 Jun 2018
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 95 171 0 04 Jun 2018
The Externalities of Exploration and How Data Diversity Helps Exploitation Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu 241 53 0 01 Jun 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 248 346 0 31 May 2018
Why Is My Classifier Discriminatory? Irene Y. Chen Fredrik D. Johansson David Sontag FaML 99 399 0 30 May 2018
Fairness GAN P. Sattigeri Samuel C. Hoffman Vijil Chenthamarakshan Kush R. Varshney 133 93 0 24 May 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 86 129 0 15 May 2018