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
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 25 22 0 26 May 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 19 84 0 25 May 2019
Protecting the Protected Group: Circumventing Harmful Fairness Omer Ben-Porat Fedor Sandomirskiy Moshe Tennenholtz FaML 9 16 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 8 56 0 15 May 2019
Proportionally Fair Clustering Xingyu Chen Brandon Fain Charles Lyu Kamesh Munagala FedML FaML 21 141 0 09 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 16 88 0 01 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 24 376 0 30 Apr 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Yizhou Sun Chunping Wang FaML 17 55 0 30 Apr 2019
Tracking and Improving Information in the Service of Fairness Sumegha Garg Michael P. Kim Omer Reingold FaML 11 12 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 16 183 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 15 95 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 13 6 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 28 471 0 11 Mar 2019
Fairness for Robust Log Loss Classification Ashkan Rezaei Rizal Fathony Omid Memarrast Brian D. Ziebart FaML 26 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 6 64 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 31 373 0 02 Mar 2019
Predictive Inequity in Object Detection Benjamin Wilson Judy Hoffman Jamie Morgenstern 37 218 0 21 Feb 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 6 73 0 15 Feb 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 22 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 16 60 0 06 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 20 83 0 29 Jan 2019
Fair Regression for Health Care Spending A. Zink Sherri Rose 22 49 0 28 Jan 2019
Guarantees for Spectral Clustering with Fairness Constraints Matthäus Kleindessner Samira Samadi Pranjal Awasthi Jamie Morgenstern 23 152 0 24 Jan 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 6 280 0 15 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 24 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 30 150 0 14 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 30 229 0 08 Jan 2019
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function) P. Eckersley 14 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 192 743 0 13 Dec 2018
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 17 176 0 11 Dec 2018
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 23 63 0 10 Dec 2018
From Fair Decision Making to Social Equality Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 20 99 0 07 Dec 2018
Probabilistic Verification of Fairness Properties via Concentration Osbert Bastani Xin Zhang Armando Solar-Lezama FaML FedML 9 70 0 02 Dec 2018
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 29 121 0 28 Nov 2018
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 6 355 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 29 373 0 19 Nov 2018
Machine Decisions and Human Consequences Teresa Scantamburlo A. Charlesworth N. Cristianini FaML 11 20 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 29 318 0 14 Nov 2018
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 11 9 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 16 174 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 16 1 0 06 Nov 2018
FairMod - Making Predictive Models Discrimination Aware Jixue Liu Jiuyong Li Lin Liu T. Le Feiyue Ye Gefei Li 11 1 0 05 Nov 2018
The Price of Fair PCA: One Extra Dimension Samira Samadi U. Tantipongpipat Jamie Morgenstern Mohit Singh Santosh Vempala FaML 6 154 0 31 Oct 2018
Crowdsourcing with Fairness, Diversity and Budget Constraints Naman Goel Boi Faltings FaML 25 20 0 31 Oct 2018
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing Bettina Berendt 8 73 0 30 Oct 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 6 29 0 28 Oct 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 12 409 0 20 Oct 2018
Discovering Fair Representations in the Data Domain Novi Quadrianto V. Sharmanska Oliver Thomas 21 3 0 15 Oct 2018
Tuning Fairness by Balancing Target Labels T. Kehrenberg Zexun Chen Novi Quadrianto 20 4 0 12 Oct 2018
Understanding the Origins of Bias in Word Embeddings Marc-Etienne Brunet Colleen Alkalay-Houlihan Ashton Anderson R. Zemel FaML 26 198 0 08 Oct 2018