A causal framework for discovering and removing direct and indirect discrimination

22 November 2016

Papers citing "A causal framework for discovering and removing direct and indirect discrimination"

50 / 95 papers shown

Title
A Causal Lens for Learning Long-term Fair Policies Jacob Lear Lu Zhang FaML 19 0 0 12 Jun 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 98 0 0 03 May 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 155 0 0 17 Feb 2025
Detecting clinician implicit biases in diagnoses using proximal causal inference Kara Liu Russ Altman Vasilis Syrgkanis CML 96 0 0 27 Jan 2025
Fairness Evaluation with Item Response Theory Ziqi Xu Sevvandi Kandanaarachchi Cheng Soon Ong Eirini Ntoutsi 56 3 0 20 Oct 2024
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables Yang Xie Ziqi Xu Debo Cheng Jiuyong Li Lin Liu Yinghao Zhang Zaiwen Feng CML BDL 63 0 0 13 Aug 2024
Fair Risk Minimization under Causal Path-Specific Effect Constraints Razieh Nabi David Benkeser FaML 30 0 0 03 Aug 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis Farnaz Kohankhaki Shaina Raza Oluwanifemi Bamgbose D. Pandya Elham Dolatabadi CML 93 0 0 02 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 106 0 0 29 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness Zhining Liu Ruizhong Qiu Zhichen Zeng Yada Zhu Hendrik Hamann Hanghang Tong FaML 94 7 0 13 Jun 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark Fredrik D. Johansson CML 62 0 0 25 May 2024
Local Causal Discovery for Structural Evidence of Direct Discrimination Jacqueline R. M. A. Maasch Kyra Gan Violet Chen Agni Orfanoudaki Nil-Jana Akpinar Fei Wang 68 2 0 23 May 2024
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention Cedric Deslandes Whitney Justin Norman 77 24 0 03 May 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning Zhihong Deng Jing Jiang Guodong Long Chengqi Zhang 73 2 0 16 Apr 2024
Long-Term Fair Decision Making through Deep Generative Models Yaowei Hu Yongkai Wu Lu Zhang FaML 52 2 0 20 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 69 6 0 19 Jan 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 71 6 0 30 Nov 2023
Causal Fairness-Guided Dataset Reweighting using Neural Networks Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 63 1 0 17 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 39 2 0 05 Nov 2023
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder Ziqi Xu Debo Cheng Jiuyong Li Jixue Liu Lin Liu Kui Yu CML 74 9 0 03 Oct 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments James Enouen Tianshu Sun Yan Liu FaML 60 0 0 04 Sep 2023
DBFed: Debiasing Federated Learning Framework based on Domain-Independent Jiale Li Zhixin Li Yibo Wang Yao Li Lei Wang FedML 44 0 0 10 Jul 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 45 14 0 17 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 89 26 0 14 Feb 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors Zeyu Tang Yatong Chen Yang Liu Kun Zhang 50 8 0 21 Jan 2023
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 51 1 0 21 Nov 2022
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records Linying Zhang L. Richter Yixin Wang A. Ostropolets Noémie Elhadad David M. Blei G. Hripcsak CML 66 3 0 21 Nov 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 113 3 0 22 Sep 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 155 7 0 19 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 82 41 0 10 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 105 177 0 14 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 199 46 0 12 Jul 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 73 18 0 14 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 94 29 0 08 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria Yiqiao Liao Parinaz Naghizadeh Ardabili 79 9 0 31 May 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 65 19 0 27 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 94 120 0 06 May 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness Mckane Andrus Sarah Villeneuve FaML 103 51 0 18 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 92 45 0 06 Apr 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 72 22 0 04 Apr 2022
Distraction is All You Need for Fairness Mehdi Yazdani-Jahromi Amirarsalan Rajabi Ali Khodabandeh Yalabadi Aida Tayebi O. Garibay 113 3 0 15 Mar 2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 69 6 0 25 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 49 12 0 24 Feb 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst Ryan Carey Silvia Chiappa Tom Everitt FaML 98 15 0 22 Feb 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 37 6 0 13 Jan 2022
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 105 1 0 29 Nov 2021
Fair-SSL: Building fair ML Software with less data Joymallya Chakraborty Suvodeep Majumder Huy Tu SyDa 70 5 0 03 Nov 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 92 111 0 25 Oct 2021
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Kewen Peng Joymallya Chakraborty Tim Menzies FaML 75 32 0 03 Oct 2021