Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

24 October 2016

Papers citing "Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"

50 / 858 papers shown

Title
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 80 79 0 10 Mar 2021
Fairness seen as Global Sensitivity Analysis Clément Bénesse Fabrice Gamboa Jean-Michel Loubes Thibaut Boissin 55 16 0 08 Mar 2021
Measuring Model Biases in the Absence of Ground Truth Osman Aka Ken Burke Alex Bauerle Christina Greer Margaret Mitchell 91 35 0 05 Mar 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 81 50 0 03 Mar 2021
Approximation Algorithms for Socially Fair Clustering Yury Makarychev A. Vakilian 88 50 0 03 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 70 117 0 02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 183 163 0 25 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 123 234 0 25 Feb 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 70 70 0 25 Feb 2021
Directional Bias Amplification Angelina Wang Olga Russakovsky 79 70 0 24 Feb 2021
Learning to Fairly Classify the Quality of Wireless Links Gregor Cerar Halil Yetgin M. Mohorčič Carolina Fortuna FaML 87 9 0 23 Feb 2021
Everything is Relative: Understanding Fairness with Optimal Transport Kweku Kwegyir-Aggrey Rebecca Santorella Sarah M. Brown OT 75 3 0 20 Feb 2021
Towards the Right Kind of Fairness in AI Boris Ruf Marcin Detyniecki 91 27 0 16 Feb 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 71 22 0 12 Feb 2021
A Decentralized Approach towards Responsible AI in Social Ecosystems Wenjing Chu 92 9 0 12 Feb 2021
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness Georg Ahnert Ivan Smirnov Florian Lemmerich Claudia Wagner M. Strohmaier FaML 45 2 0 08 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 123 25 0 05 Feb 2021
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits Jack Bandy MLAU 82 118 0 03 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 48 16 0 03 Feb 2021
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research A. Feder Cooper Ellen Abrams FaML 101 63 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 66 70 0 01 Feb 2021
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research Elija Perrier 56 2 0 30 Jan 2021
Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All? Martin Aumüller Sariel Har-Peled S. Mahabadi Rasmus Pagh Francesco Silvestri 34 14 0 26 Jan 2021
Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms Samantha Robertson Tonya Nguyen Niloufar Salehi 55 66 0 25 Jan 2021
Leveraging Expert Consistency to Improve Algorithmic Decision Support Maria De-Arteaga Vincent Jeanselme A. Dubrawski Alexandra Chouldechova 84 22 0 24 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 57 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 93 26 0 18 Jan 2021
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 168 62 0 16 Jan 2021
Online Multivalid Learning: Means, Moments, and Prediction Intervals Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 107 44 0 05 Jan 2021
Fair Training of Decision Tree Classifiers Francesco Ranzato Caterina Urban Marco Zanella FaML 47 12 0 04 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 324 500 0 31 Dec 2020
Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints You-Lin Chen Zhaoran Wang Mladen Kolar 44 0 0 30 Dec 2020
A Maximal Correlation Approach to Imposing Fairness in Machine Learning Joshua K. Lee Yuheng Bu P. Sattigeri Yikang Shen G. Wornell Leonid Karlinsky Rogerio Feris FaML 46 17 0 30 Dec 2020
BENN: Bias Estimation Using Deep Neural Network Amit Giloni Edita Grolman Tanja Hagemann Ronald Fromm Sebastian Fischer Yuval Elovici A. Shabtai 48 2 0 23 Dec 2020
Fair for All: Best-effort Fairness Guarantees for Classification A. Krishnaswamy Zhihao Jiang Kangning Wang Yu Cheng Kamesh Munagala FaML 180 10 0 18 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 145 18 0 17 Dec 2020
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 76 41 0 09 Dec 2020
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
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
Rethinking recidivism through a causal lens Vik Shirvaikar C. Lakshminarayan CML 76 0 0 19 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 129 252 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
Fair Machine Learning Under Partial Compliance Jessica Dai S. Fazelpour Zachary Chase Lipton 67 11 0 07 Nov 2020
Does enforcing fairness mitigate biases caused by subpopulation shift? Subha Maity Debarghya Mukherjee Mikhail Yurochkin Yuekai Sun 153 24 0 06 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
Making ML models fairer through explanations: the case of LimeOut Guilherme Alves Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 24 7 0 01 Nov 2020
Fair Classification with Group-Dependent Label Noise Jialu Wang Yang Liu Caleb C. Levy NoLa 80 104 0 31 Oct 2020
Linear Classifiers that Encourage Constructive Adaptation Yatong Chen Jialu Wang Yang Liu 97 16 0 31 Oct 2020
Gender Bias in Depression Detection Using Audio Features A. Bailey Mark D. Plumbley 68 61 0 28 Oct 2020