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Avoiding Discrimination through Causal Reasoning

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 312 papers shown

Title
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach Khadija Zanna Akane Sano 15 0 0 13 Jun 2025
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Emre Kavak Tom Nuno Wolf Christian Wachinger CML 20 0 0 13 Jun 2025
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants D. Tramontano Yaroslav Kivva Saber Salehkaleybar Mathias Drton Negar Kiyavash CML 110 0 0 05 Jun 2025
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Hojun Son Asma Almutairi Arpan Kusari 127 0 0 24 May 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 135 0 0 03 Apr 2025
Causal Feature Learning in the Social Sciences Jingzhou Huang Jiuyao Lu Alexander Williams Tolbert CML 84 0 0 17 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 556 1 0 28 Feb 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
Fairness Amidst Non-IID Graph Data: A Literature Review Wenbin Zhang Shimei Pan Shuigeng Zhou T. Walsh FaML OOD 105 12 0 28 Jan 2025
Lookahead Counterfactual Fairness Zhiqun Zuo Tian Xie Xuwei Tan Xueru Zhang Mohammad Mahdi Khalili FaML 172 0 0 02 Dec 2024
Debiasing Alternative Data for Credit Underwriting Using Causal Inference Chris Lam CML 44 0 0 29 Oct 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare Arno Blaas Adam Goliñski Andrew C. Miller Luca Zappella J. Jacobsen Christina Heinze-Deml OOD 74 0 0 25 Oct 2024
Using Protected Attributes to Consider Fairness in Multi-Agent Systems Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black FaML 45 0 0 16 Oct 2024
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations Jiageng Zhu Hanchen Xie Jiazhi Li Wael Abd-Almageed DiffM 89 1 0 30 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 106 0 0 29 Jun 2024
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 70 0 0 27 Jun 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng Li Jundong Li CML 73 3 0 20 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 124 4 0 10 Jun 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders D. Tramontano Yaroslav Kivva Saber Salehkaleybar Mathias Drton Negar Kiyavash CML 93 3 0 04 Jun 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 72 3 0 24 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
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 87 1 0 17 May 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 76 4 0 12 May 2024
Utility-Fairness Trade-Offs and How to Find Them Sepehr Dehdashtian Bashir Sadeghi Vishnu Boddeti 80 6 0 15 Apr 2024
Auditing the Use of Language Models to Guide Hiring Decisions Johann D. Gaebler Sharad Goel Aziz Huq Prasanna Tambe MLAU 89 12 0 03 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 77 4 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 82 9 0 26 Mar 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency Parian Haghighat Denisa Gándara Lulu Kang Hadis Anahideh 59 0 0 23 Feb 2024
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems Jessy Xinyi Han Andrew Miller S. C. Watkins Christopher Winship Fotini Christia Devavrat Shah 35 1 0 22 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 96 0 0 14 Feb 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 60 2 0 05 Feb 2024
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 64 4 0 25 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 72 6 0 19 Jan 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 69 5 0 22 Dec 2023
GroupMixNorm Layer for Learning Fair Models Anubha Pandey Aditi Rai Maneet Singh Deepak L. Bhatt Tanmoy Bhowmik 51 0 0 19 Dec 2023
Evaluating and Mitigating Discrimination in Language Model Decisions Alex Tamkin Amanda Askell Liane Lovitt Esin Durmus Nicholas Joseph Shauna Kravec Karina Nguyen Jared Kaplan Deep Ganguli 95 76 0 06 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 71 6 0 30 Nov 2023
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 90 1 0 29 Nov 2023
Challenges of Large Language Models for Mental Health Counseling N. C. Chung George C. Dyer L. Brocki LM&MA AI4MH 123 16 0 23 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 50 2 0 05 Nov 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness A. Ehyaei G. Farnadi Samira Samadi 98 1 0 30 Oct 2023
Causality-Inspired Fair Representation Learning for Multimodal Recommendation Weixin Chen Li Chen Yongxin Ni Yuhan Zhao 40 2 0 26 Oct 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Navita Goyal Connor Baumler Tin Trung Nguyen Hal Daumé 78 8 0 12 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 89 17 0 29 Sep 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
Adaptation Speed Analysis for Fairness-aware Causal Models Yujie Lin Chen Zhao Minglai Shao Xujiang Zhao Haifeng Chen 40 5 0 31 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity S. Kim Stefan Lessmann G. Andreeva Michael Rovatsos FaML 66 5 0 01 Aug 2023
Learning Fair Classifiers via Min-Max F-divergence Regularization Meiyu Zhong Ravi Tandon FaML 43 4 0 28 Jun 2023
Fairness Aware Counterfactuals for Subgroups Loukas Kavouras Konstantinos Tsopelas G. Giannopoulos Dimitris Sacharidis Eleni Psaroudaki Nikolaos Theologitis D. Rontogiannis Dimitris Fotakis Ioannis Emiris 96 8 0 26 Jun 2023
Insights From Insurance for Fair Machine Learning Christiane Fröhlich Robert C. Williamson FaML 70 8 0 26 Jun 2023