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
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 27 6 0 25 May 2023
Deep Learning and Ethics Travis LaCroix Simon J. D. Prince FaML 24 0 0 24 May 2023
Time Fairness in Online Knapsack Problems Adam Lechowicz Rik Sengupta Bo Sun Shahin Kamali Mohammad Hajiesmaili FaML 46 3 0 22 May 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 38 8 0 17 May 2023
Ranking & Reweighting Improves Group Distributional Robustness Yachuan Liu Bohang Zhang Qiaozhu Mei Paramveer S. Dhillon OOD 27 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 27 21 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 32 19 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 27 2 0 04 May 2023
On the Impact of Data Quality on Image Classification Fairness Aki Barry Lei Han Gianluca Demartini 41 4 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 29 0 0 26 Apr 2023
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models William La Cava FaML 14 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 26 26 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 34 8 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 46 10 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 13 17 0 18 Apr 2023
Maximal Fairness Marybeth Defrance Tijl De Bie 28 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 22 1 0 10 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 36 247 0 07 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 45 11 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 54 7 0 05 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 52 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 10 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 41 18 0 15 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 33 1 0 14 Mar 2023
No-regret Algorithms for Fair Resource Allocation Abhishek Sinha Ativ Joshi Rajarshi Bhattacharjee Cameron Musco Mohammad Hajiesmaili FaML 43 5 0 11 Mar 2023
DNBP: Differentiable Nonparametric Belief Propagation Anthony Opipari Jana Pavlasek Chao Chen Shoutian Wang Karthik Desingh Odest Chadwicke Jenkins 19 3 0 08 Mar 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 68 17 0 08 Mar 2023
SoK: Content Moderation for End-to-End Encryption Sarah Scheffler Jonathan R. Mayer 40 22 0 07 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 26 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 35 17 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 21 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 26 4 0 27 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 16 13 0 17 Feb 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 23 20 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 14 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 18 0 0 16 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 43 3 0 13 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 28 15 0 13 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 41 18 0 13 Feb 2023
On Fairness and Stability: Is Estimator Variance a Friend or a Foe? Falaah Arif Khan Denys Herasymuk Julia Stoyanovich 41 2 0 09 Feb 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 13 9 0 08 Feb 2023
Fairness in Matching under Uncertainty Siddartha Devic David Kempe Vatsal Sharan Aleksandra Korolova FaML 32 6 0 08 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness Daniel E. Rigobon FaML 25 1 0 07 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 35 17 0 05 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 31 21 0 02 Feb 2023
Retiring $Δ$ DP: New Distribution-Level Metrics for Demographic Parity Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Xia Hu 35 3 0 31 Jan 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian D. Ziebart FaML 17 0 0 31 Jan 2023
Preserving Fairness in AI under Domain Shift Serban Stan Mohammad Rostami 21 2 0 29 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 19 9 0 27 Jan 2023
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification A. Feder Cooper Katherine Lee Madiha Zahrah Choksi Solon Barocas Chris De Sa James Grimmelmann Jon M. Kleinberg Siddhartha Sen Baobao Zhang FaML 16 26 0 27 Jan 2023