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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
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives Angie Peng Jeffrey Naecker B. Hutchinson A. Smart Nyalleng Moorosi 52 0 0 08 Dec 2020
Stronger Calibration Lower Bounds via Sidestepping Mingda Qiao Gregory Valiant 109 24 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 109 95 0 05 Dec 2020
Feedback Effects in Repeat-Use Criminal Risk Assessments Benjamin Laufer 92 0 0 28 Nov 2020
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 82 68 0 26 Nov 2020
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification Youngseog Chung Willie Neiswanger I. Char J. Schneider UQCV 254 89 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 132 252 0 15 Nov 2020
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration Shengjia Zhao Stefano Ermon 47 9 0 15 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 88 70 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 36 18 0 04 Nov 2020
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 93 5 0 03 Nov 2020
Inherent Trade-offs in the Fair Allocation of Treatments Yuzi He Keith Burghardt Siyi Guo Kristina Lerman FaML 29 6 0 30 Oct 2020
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 118 47 0 27 Oct 2020
The Pursuit of Algorithmic Fairness: On "Correcting" Algorithmic Unfairness in a Child Welfare Reunification Success Classifier Jordan Purdy B. Glass FaML 49 5 0 22 Oct 2020
Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research A. Feder Cooper 70 7 0 20 Oct 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 81 46 0 19 Oct 2020
Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice Andrii Babii Xi Chen Eric Ghysels Rohit Kumar FaML 42 10 0 16 Oct 2020
Explainability for fair machine learning T. Begley Tobias Schwedes Christopher Frye Ilya Feige FaML FedML 101 47 0 14 Oct 2020
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 67 27 0 14 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 158 60 0 12 Oct 2020
Representativity Fairness in Clustering Deepak P Savitha Sam Abraham FaML 40 14 0 11 Oct 2020
CryptoCredit: Securely Training Fair Models Leo de Castro Jiahao Chen Antigoni Polychroniadou 47 3 0 09 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 116 656 0 04 Oct 2020
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets Lequn Wang Thorsten Joachims FaML 107 61 0 04 Oct 2020
On Statistical Discrimination as a Failure of Social Learning: A Multi-Armed Bandit Approach Junpei Komiyama Shunya Noda 31 5 0 02 Oct 2020
Legally grounded fairness objectives Dylan Holden-Sim Gavin Leech Laurence Aitchison AILaw FaML 45 0 0 24 Sep 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 74 56 0 23 Sep 2020
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data Catherine Ordun Edward Raff S. Purushotham 61 13 0 22 Sep 2020
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition Tomás Sixta Julio C. S. Jacques Junior Pau Buch-Cardona Neil M. Robertson E. Vazquez Sergio Escalera CVBM 102 34 0 16 Sep 2020
Fairness in the Eyes of the Data: Certifying Machine-Learning Models Shahar Segal Yossi Adi Benny Pinkas Carsten Baum C. Ganesh Joseph Keshet FedML 72 37 0 03 Sep 2020
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets R. Berk Arun K. Kuchibhotla 49 5 0 26 Aug 2020
Towards Guidelines for Assessing Qualities of Machine Learning Systems Julien Siebert Lisa Joeckel J. Heidrich K. Nakamichi Kyoko Ohashi I. Namba Rieko Yamamoto M. Aoyama 77 48 0 25 Aug 2020
Beyond Individual and Group Fairness Pranjal Awasthi Corinna Cortes Yishay Mansour M. Mohri FaML 146 22 0 21 Aug 2020
BREEDS: Benchmarks for Subpopulation Shift Shibani Santurkar Dimitris Tsipras Aleksander Madry OOD 74 175 0 11 Aug 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li Basel Alomair Jacob Steinhardt 157 576 0 05 Aug 2020
Fairness-Aware Online Personalization G. R. Lal S. Geyik K. Kenthapadi FaML 61 3 0 30 Jul 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 123 113 0 20 Jul 2020
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications Sayan Bandyapadhyay F. Fomin Kirill Simonov 70 44 0 20 Jul 2020
On Controllability of AI Roman V. Yampolskiy 61 14 0 19 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 70 62 0 18 Jul 2020
The Impossibility Theorem of Machine Fairness -- A Causal Perspective Kailash Karthik FaML 60 26 0 12 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 113 126 0 10 Jul 2020
Transparency Tools for Fairness in AI (Luskin) Mingliang Chen Aria Shahverdi S. I. G. Anderson Se Yong Park Justin Zhang Dana Dachman-Soled Kristin E. Lauter Min Wu 24 2 0 09 Jul 2020
Fairness constraints can help exact inference in structured prediction Kevin Bello Jean Honorio 39 6 0 01 Jul 2020
Evaluation of Fairness Trade-offs in Predicting Student Success Hansol Lee René F. Kizilcec 61 29 0 30 Jun 2020
Machine learning fairness notions: Bridging the gap with real-world applications K. Makhlouf Sami Zhioua C. Palamidessi FaML 68 55 0 30 Jun 2020
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness Mikhail Yurochkin Yuekai Sun FaML 89 50 0 25 Jun 2020
Fair Performance Metric Elicitation Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 75 18 0 23 Jun 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 92 97 0 19 Jun 2020
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 96 87 0 19 Jun 2020