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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
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 74 363 0 11 Jun 2019
Equalized odds postprocessing under imperfect group information Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern 92 91 0 07 Jun 2019
Fair Division Without Disparate Impact A. Peysakhovich Christian Kroer 64 10 0 06 Jun 2019
Does Object Recognition Work for Everyone? Terrance Devries Ishan Misra Changhan Wang Laurens van der Maaten 118 265 0 06 Jun 2019
Balanced Ranking with Diversity Constraints Ke Yang Vasilis Gkatzelis Julia Stoyanovich 53 71 0 04 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 110 158 0 01 Jun 2019
Metric Learning for Individual Fairness Christina Ilvento FaML 111 97 0 01 Jun 2019
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction Boli Fang Miao Jiang Jerry Shen 26 2 0 01 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 54 16 0 31 May 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 88 249 0 30 May 2019
Efficient candidate screening under multiple tests and implications for fairness Lee Cohen Zachary Chase Lipton Yishay Mansour 68 32 0 27 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 70 20 0 26 May 2019
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions Feiyang Pan Xiang Ao Pingzhong Tang Min Lu Dapeng Liu Lei Xiao Qing He 72 22 0 26 May 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 130 87 0 25 May 2019
Protecting the Protected Group: Circumventing Harmful Fairness Omer Ben-Porat Fedor Sandomirskiy Moshe Tennenholtz FaML 73 18 0 25 May 2019
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices Jessica Morley Luciano Floridi Libby Kinsey Anat Elhalal 83 57 0 15 May 2019
Proportionally Fair Clustering Xingyu Chen Brandon Fain Charles Lyu Kamesh Munagala FedML FaML 123 144 0 09 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 90 92 0 01 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 115 384 0 30 Apr 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Yizhou Sun Chunping Wang FaML 83 56 0 30 Apr 2019
Tracking and Improving Information in the Service of Fairness Sumegha Garg Michael P. Kim Omer Reingold FaML 53 13 0 22 Apr 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 128 187 0 10 Apr 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 76 96 0 27 Mar 2019
The invisible power of fairness. How machine learning shapes democracy E. Beretta A. Santangelo Bruno Lepri A. Vetrò Juan Carlos De Martin FaML 44 7 0 22 Mar 2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification Daniel Borkan Lucas Dixon Jeffrey Scott Sorensen Nithum Thain Lucy Vasserman 101 493 0 11 Mar 2019
Fairness for Robust Log Loss Classification Ashkan Rezaei Rizal Fathony Omid Memarrast Brian Ziebart FaML 80 8 0 10 Mar 2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning Hoda Heidari Vedant Nanda Krishna P. Gummadi 67 67 0 04 Mar 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 116 381 0 02 Mar 2019
Predictive Inequity in Object Detection Benjamin Wilson Judy Hoffman Jamie Morgenstern 89 220 0 21 Feb 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 102 76 0 15 Feb 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 78 5 0 08 Feb 2019
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 78 60 0 06 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 123 85 0 29 Jan 2019
Fair Regression for Health Care Spending A. Zink Sherri Rose 103 50 0 28 Jan 2019
Guarantees for Spectral Clustering with Fairness Constraints Matthäus Kleindessner Samira Samadi Pranjal Awasthi Jamie Morgenstern 108 159 0 24 Jan 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 104 285 0 15 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 38 31 0 15 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 108 153 0 14 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 79 242 0 08 Jan 2019
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function) P. Eckersley 119 46 0 31 Dec 2018
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 282 779 0 13 Dec 2018
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 98 180 0 11 Dec 2018
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 89 63 0 10 Dec 2018
From Fair Decision Making to Social Equality Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 90 99 0 07 Dec 2018
Probabilistic Verification of Fairness Properties via Concentration Osbert Bastani Xin Zhang Armando Solar-Lezama FaML FedML 81 72 0 02 Dec 2018
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 88 125 0 28 Nov 2018
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 95 364 0 25 Nov 2018
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 98 380 0 19 Nov 2018
Machine Decisions and Human Consequences Teresa Scantamburlo A. Charlesworth N. Cristianini FaML 50 21 0 16 Nov 2018
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 148 329 0 14 Nov 2018