A Causal Bayesian Networks Viewpoint on Fairness

15 July 2019

Papers citing "A Causal Bayesian Networks Viewpoint on Fairness"

31 / 31 papers shown

Title
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
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 60 3 0 10 Jun 2024
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 39 23 0 14 Feb 2023
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 17 40 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 31 159 0 14 Jul 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 25 26 0 08 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 102 41 0 26 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 17 5 0 19 May 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 23 92 0 10 May 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 16 18 0 08 Mar 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 86 19 0 28 Feb 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst Ryan Carey Silvia Chiappa Tom Everitt FaML 31 15 0 22 Feb 2022
Bias and unfairness in machine learning models: a systematic literature review T. P. Pagano R. B. Loureiro F. V. N. Lisboa G. O. R. Cruz R. M. Peixoto ... Maira M. Araujo Marco A. S. Cruz Ewerton L. S. Oliveira Ingrid Winkler E. G. S. Nascimento FaML 25 21 0 16 Feb 2022
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 16 1 0 29 Nov 2021
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 16 23 0 18 Sep 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 243 488 0 31 Dec 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 14 84 0 19 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 19 614 0 04 Oct 2020
A Causal Linear Model to Quantify Edge Flow and Edge Unfairness for UnfairEdge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 14 1 0 10 Jul 2020
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence Shakir Mohamed Marie-Therese Png William S. Isaac 25 394 0 08 Jul 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 8 40 0 17 Jun 2020
Causal Feature Selection for Algorithmic Fairness Sainyam Galhotra Karthikeyan Shanmugam P. Sattigeri Kush R. Varshney FaML 20 39 0 10 Jun 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 13 83 0 09 Jun 2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 8 62 0 15 May 2020
Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world B. Butcher V. Huang Jeremy Reffin S. Sgaier Grace Charles Novi Quadrianto CML 30 17 0 12 Mar 2020
The Incentives that Shape Behaviour Ryan Carey Eric D. Langlois Tom Everitt Shane Legg CML 19 13 0 20 Jan 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 15 337 0 17 Dec 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 17 206 0 08 Nov 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 16 179 0 14 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 320 4,203 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016