Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 35 1 0 14 Mar 2023
The Life Cycle of Knowledge in Big Language Models: A Survey Boxi Cao Hongyu Lin Xianpei Han Le Sun KELM 35 27 0 14 Mar 2023
Are Models Trained on Indian Legal Data Fair? Sahil Girhepuje Anmol Goel G. Krishnan Shreyansh Goyal Satyendra Pandey Ponnurangam Kumaraguru B. Ravindran AILaw 28 1 0 13 Mar 2023
Addressing Biases in the Texts using an End-to-End Pipeline Approach Shaina Raza Syed Raza Bashir Sneha Urooj Qamar 38 0 0 13 Mar 2023
Causal Dependence Plots Joshua R. Loftus Lucius E.J. Bynum Sakina Hansen CML 35 1 0 07 Mar 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 17 13 0 06 Mar 2023
Achieving Counterfactual Fairness for Anomaly Detection Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 6 7 0 04 Mar 2023
Causal Deep Learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML AI4CE 21 25 0 03 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 28 2 0 03 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 35 3 0 03 Mar 2023
Auditing for Spatial Fairness Dimitris Sacharidis G. Giannopoulos George Papastefanatos Kostas Stefanidis 11 2 0 23 Feb 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 30 13 0 23 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 16 13 0 17 Feb 2023
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 52 196 0 16 Feb 2023
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio MLAU FaML 24 1 0 16 Feb 2023
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio FaML 26 0 0 16 Feb 2023
The Capacity for Moral Self-Correction in Large Language Models Deep Ganguli Amanda Askell Nicholas Schiefer Thomas I. Liao Kamil.e Lukovsiut.e ... Tom B. Brown C. Olah Jack Clark Sam Bowman Jared Kaplan LRM ReLM 45 159 0 15 Feb 2023
Improving Recommendation Fairness via Data Augmentation Lei Chen Le Wu Kun Zhang Richang Hong Defu Lian Qing Cui Jun Zhou Meng Wang FedML 19 44 0 13 Feb 2023
A Human-Centered Review of Algorithms in Decision-Making in Higher Education Kelly McConvey Shion Guha Anastasia Kuzminykh 4 21 0 12 Feb 2023
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns Zhongbin Xie Vid Kocijan Thomas Lukasiewicz Oana-Maria Camburu 10 2 0 11 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 32 25 0 08 Feb 2023
Robustness Implies Fairness in Causal Algorithmic Recourse A. Ehyaei Amir-Hossein Karimi Bernhard Schölkopf S. Maghsudi FaML 36 12 0 07 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 24 33 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
Fair Spatial Indexing: A paradigm for Group Spatial Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 28 0 0 05 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 4 0 31 Jan 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks He Zhang Xingliang Yuan Shirui Pan 53 11 0 30 Jan 2023
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification E. Tokpo Pieter Delobelle Bettina Berendt T. Calders 46 7 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
Pragmatic Fairness: Developing Policies with Outcome Disparity Control Limor Gultchin Siyuan Guo Alan Malek Silvia Chiappa R. Silva 28 1 0 28 Jan 2023
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare Andreas Triantafyllopoulos Alexander Kathan Alice Baird Lukas Christ Alexander Gebhard ... Shahin Amiriparian K. D. Bartl-Pokorny A. Batliner Florian B. Pokorny Björn W. Schuller 47 7 0 25 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 30 2 0 25 Jan 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 37 12 0 22 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors Zeyu Tang Yatong Chen Yang Liu Kun Zhang 21 8 0 21 Jan 2023
Fair Credit Scorer through Bayesian Approach Zhuo Zhao FaML 11 0 0 20 Jan 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 40 57 0 18 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 32 7 0 18 Jan 2023
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue Yuekai Sun Mikhail Yurochkin FaML 13 0 0 15 Jan 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 40 0 0 03 Jan 2023
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks Narine Kokhlikyan B. Alsallakh Fulton Wang Vivek Miglani Oliver Aobo Yang David Adkins 30 1 0 26 Dec 2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 34 68 0 25 Dec 2022
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints Yao Yao Qihang Lin Tianbao Yang FaML 26 6 0 23 Dec 2022
On How AI Needs to Change to Advance the Science of Drug Discovery Kieran Didi Matej Zečević CML 24 1 0 23 Dec 2022
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering Akshay Chaturvedi Swarnadeep Bhar Soumadeep Saha Utpal Garain Nicholas Asher 33 5 0 21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data David Pujol Amir Gilad Ashwin Machanavajjhala 33 7 0 20 Dec 2022
Human-Guided Fair Classification for Natural Language Processing Florian E.Dorner Momchil Peychev Nikola Konstantinov Naman Goel Elliott Ash Martin Vechev FaML 32 4 0 20 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 48 31 0 18 Dec 2022
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Simplicity Bias Leads to Amplified Performance Disparities Samuel J. Bell Levent Sagun 24 13 0 13 Dec 2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu-Chiang Frank Wang Tyler Derr FaML 41 13 0 07 Dec 2022