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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
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 77 47 0 25 Jun 2023
Correcting Underrepresentation and Intersectional Bias for Classification Emily Diana A. Tolbert FaML 90 1 0 19 Jun 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Helen Zhou 90 31 0 15 Jun 2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity Lisa Koutsoviti Koumeri Magali Legast Yasaman Yousefi K. Vanhoof Axel Legay Christoph Schommer FaML 56 5 0 14 Jun 2023
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice Wesley Hanwen Deng Nuri Yildirim Monica Chang Motahhare Eslami Kenneth Holstein Michael A. Madaio 108 47 0 10 Jun 2023
Are fairness metric scores enough to assess discrimination biases in machine learning? Fanny Jourdan Laurent Risser Jean-Michel Loubes Nicholas M. Asher FaML 53 5 0 08 Jun 2023
Proximity-Informed Calibration for Deep Neural Networks Miao Xiong Ailin Deng Pang Wei Koh Jiaying Wu Shen Li Jianqing Xu Bryan Hooi UQCV 165 15 0 07 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 89 7 0 06 Jun 2023
Doubly Constrained Fair Clustering John P. Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 65 7 0 31 May 2023
Disentangling and Operationalizing AI Fairness at LinkedIn Joaquin Quiñonero Candela Yuwen Wu Brian Hsu Sakshi Jain Jennifer Ramos Jon Adams R. Hallman Kinjal Basu 114 9 0 30 May 2023
Optimization's Neglected Normative Commitments Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 64 6 0 27 May 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 66 6 0 25 May 2023
Deep Learning and Ethics Travis LaCroix Simon J. D. Prince FaML 78 0 0 24 May 2023
Time Fairness in Online Knapsack Problems Adam Lechowicz Rik Sengupta Bo Sun Shahin Kamali Mohammad Hajiesmaili FaML 104 4 0 22 May 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 69 11 0 17 May 2023
Ranking & Reweighting Improves Group Distributional Robustness Yachuan Liu Bohang Zhang Qiaozhu Mei Paramveer S. Dhillon OOD 33 0 0 09 May 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 69 25 0 05 May 2023
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews Brandon M. Booth Louis Hickman Shree Krishna Subburaj Louis Tay S. E. Woo S. D’Mello FaML 94 20 0 04 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 64 2 0 04 May 2023
On the Impact of Data Quality on Image Classification Fairness Aki Barry Lei Han Gianluca Demartini 105 5 0 02 May 2023
Towards clinical AI fairness: A translational perspective Mingxuan Liu Yilin Ning Salinelat Teixayavong M. Mertens Jie Xu ... Ravi Chandran Narrendar Fei Wang Leo Anthony Celi M. Ong Nan Liu FaML 61 0 0 26 Apr 2023
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models William La Cava FaML 56 4 0 21 Apr 2023
On the Independence of Association Bias and Empirical Fairness in Language Models Laura Cabello Anna Katrine van Zee Anders Søgaard 62 28 0 20 Apr 2023
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness Andrea Aler Tubella Dimitri Coelho Mollo Adam Dahlgren Lindstrom Hannah Devinney Virginia Dignum ... Anna Jonsson T. Kampik Tom Lenaerts Julian Alfredo Mendez J. Nieves 80 11 0 19 Apr 2023
Loss Minimization Yields Multicalibration for Large Neural Networks Jarosław Błasiok Parikshit Gopalan Lunjia Hu Adam Tauman Kalai Preetum Nakkiran FaML UQCV 95 13 0 19 Apr 2023
Coarse race data conceals disparities in clinical risk score performance Rajiv Movva Divya Shanmugam Kaihua Hou P. Pathak John Guttag Nikhil Garg Emma Pierson 88 20 0 18 Apr 2023
Maximal Fairness Marybeth Defrance Tijl De Bie 75 9 0 12 Apr 2023
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness Francesco Di Carlo Nazanin Nezami Hadis Anahideh Abolfazl Asudeh 61 1 0 10 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 121 264 0 07 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 100 13 0 07 Apr 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa M. Asiedu Awa Dieng Abigail Oppong Margaret Nagawa Sanmi Koyejo Katherine A. Heller 113 11 0 05 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 96 2 0 31 Mar 2023
Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholders Georgina Curto F. Comim FaML 35 1 0 22 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 100 19 0 15 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 95 1 0 14 Mar 2023
No-regret Algorithms for Fair Resource Allocation Abhishek Sinha Ativ Joshi Rajarshi Bhattacharjee Cameron Musco Mohammad Hajiesmaili FaML 71 8 0 11 Mar 2023
DNBP: Differentiable Nonparametric Belief Propagation Anthony Opipari Jana Pavlasek Chao Chen Shoutian Wang Karthik Desingh Odest Chadwicke Jenkins 70 3 0 08 Mar 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 231 19 0 08 Mar 2023
SoK: Content Moderation for End-to-End Encryption Sarah Scheffler Jonathan R. Mayer 92 24 0 07 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 81 2 0 03 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 79 18 0 01 Mar 2023
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling Wei-Yin Ko Daniel D'souza Karina Nguyen Randall Balestriero Sara Hooker FedML 82 11 0 01 Mar 2023
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? Fanny Jourdan Titon Tshiongo Kaninku Nicholas M. Asher Jean-Michel Loubes Laurent Risser FaML 74 4 0 27 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 45 14 0 17 Feb 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 67 21 0 17 Feb 2023
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction Falaah Arif Khan Julia Stoyanovich FaML VLM CML 23 3 0 17 Feb 2023
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio FaML 52 0 0 16 Feb 2023
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness Natasa Krco Thibault Laugel Vincent Grari Jean-Michel Loubes Marcin Detyniecki 60 0 0 14 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 67 5 0 13 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 47 20 0 13 Feb 2023