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Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
  Fairness
v1v2v3v4v5 (latest)

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
    FaML
ArXiv (abs)PDFHTML

Papers citing "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness"

50 / 448 papers shown
Title
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
Modar Sulaiman
Kallol Roy
56
0
0
18 Jun 2025
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
Ata Yalcin
Asli Umay Ozturk
Yigit Sever
Viktoria Pauw
Stephan Hachinger
Ismail Hakki Toroslu
Pinar Karagoz
FaML
44
0
0
17 Jun 2025
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
Harvineet Singh
Fan Xia
Alexej Gossmann
Andrew Chuang
Julian C. Hong
Jean Feng
47
0
0
31 May 2025
Representative Language Generation
Representative Language Generation
Charlotte Peale
Vinod Raman
Omer Reingold
35
1
0
27 May 2025
Subgroups Matter for Robust Bias Mitigation
Subgroups Matter for Robust Bias Mitigation
A. Alloula
Charles Jones
Ben Glocker
Bartłomiej W. Papież
64
0
0
27 May 2025
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models
Pushkar Shukla
Aditya Chinchure
Emily Diana
A. Tolbert
K. Hosanagar
Vineeth N. Balasubramanian
Leonid Sigal
Matthew Turk
49
0
0
22 May 2025
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Yifan Liu
Ruichen Yao
Y. Liu
Ruohan Zong
Hui Yuan
Yang Zhang
Dong Wang
CVBM
89
0
0
03 May 2025
Bayes-Optimal Fair Classification with Multiple Sensitive Features
Bayes-Optimal Fair Classification with Multiple Sensitive Features
Yi Yang
Yinghui Huang
Xiangyu Chang
FaML
102
0
0
01 May 2025
M$^2$FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
M2^22FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen S. B. Pereira
Giovani Valdrighi
Marcos Medeiros Raimundo
FaML
124
0
0
16 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
FaML
143
0
0
03 Apr 2025
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
Sami Zhioua
Ruta Binkyt.e
Ayoub Ouni
Farah Barika Ktata
61
0
0
23 Mar 2025
BiasConnect: Investigating Bias Interactions in Text-to-Image Models
Pushkar Shukla
Aditya Chinchure
Emily Diana
A. Tolbert
K. Hosanagar
Vineeth N. Balasubramanian
Leonid Sigal
Matthew Turk
82
0
0
12 Mar 2025
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
Iris Dominguez-Catena
D. Paternain
M. Galar
Marybeth Defrance
Maarten Buyl
Tijl De Bie
115
0
0
05 Mar 2025
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text
Arturs Kanepajs
Aditi Basu
Sankalpa Ghose
Constance Li
Akshat Mehta
Ronak Mehta
Samuel David Tucker-Davis
Eric Zhou
Bob Fischer
Jacy Reese Anthis
ELMALM
149
1
0
03 Mar 2025
Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs
Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs
Hannah Cyberey
Yangfeng Ji
David Evans
LLMSV
189
1
0
27 Feb 2025
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
Konstantina Bairaktari
Jiayun Wu
Zhiwei Steven Wu
111
1
0
24 Feb 2025
Bias Detection via Maximum Subgroup Discrepancy
Bias Detection via Maximum Subgroup Discrepancy
Jiří Němeček
Mark Kozdoba
Illia Kryvoviaz
Tomáš Pevný
Jakub Mareˇcek
230
0
0
04 Feb 2025
Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude
Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude
Yile Yan
Yinlin Zhu
Wentao Xu
ELM
107
0
0
17 Jan 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Luiz F. O. Chamon
Mohammad Reza Karimi
Anna Korba
93
3
0
08 Jan 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning
Yan Luo
Congcong Wen
Min Shi
Hao Huang
Yi Fang
Mengyu Wang
FedML
64
0
0
31 Dec 2024
Diversity Drives Fairness: Ensemble of Higher Order Mutants for
  Intersectional Fairness of Machine Learning Software
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software
Zhenpeng Chen
Xinyue Li
Jing Zhang
Federica Sarro
Yang Liu
FaML
131
3
0
11 Dec 2024
The Intersectionality Problem for Algorithmic Fairness
The Intersectionality Problem for Algorithmic Fairness
Johannes Himmelreich
Arbie Hsu
Kristian Lum
Ellen Veomett
FaML
118
1
0
04 Nov 2024
Active Fourier Auditor for Estimating Distributional Properties of ML
  Models
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra
Bishwamittra Ghosh
Debabrota Basu
MLAU
131
2
0
10 Oct 2024
Social Choice for Heterogeneous Fairness in Recommendation
Social Choice for Heterogeneous Fairness in Recommendation
Amanda A. Aird
Elena Stefancova
Cassidy All
A. Voida
Martin Homola
Nicholas Mattei
Robin Burke
FaML
103
0
0
06 Oct 2024
Minimax Group Fairness in Strategic Classification
Minimax Group Fairness in Strategic Classification
Emily Diana
Saeed Sharifi-Malvajerdi
A. Vakilian
FaML
99
1
0
03 Oct 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
97
0
0
02 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring
Best Practices for Responsible Machine Learning in Credit Scoring
Giovani Valdrighi
Athyrson M. Ribeiro
Jansen S. B. Pereira
Vitoria Guardieiro
Arthur Hendricks
...
Juan David Nieto Garcia
Felipe F. Bocca
Thalita B. Veronese
Lucas Wanner
Marcos Medeiros Raimundo
FaML
104
0
0
30 Sep 2024
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly
  Fair Decision-Makers
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers
Manh Khoi Duong
Stefan Conrad
UDFaML
82
0
0
19 Sep 2024
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models
Sahil Kuchlous
Marvin Li
Jeffrey G. Wang
80
0
0
15 Sep 2024
Exploring Bias and Prediction Metrics to Characterise the Fairness of
  Machine Learning for Equity-Centered Public Health Decision-Making: A
  Narrative Review
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
Shaina Raza
Arash Shaban-Nejad
Elham Dolatabadi
Hiroshi Mamiya
68
5
0
23 Aug 2024
Aligning (Medical) LLMs for (Counterfactual) Fairness
Aligning (Medical) LLMs for (Counterfactual) Fairness
Raphael Poulain
Hamed Fayyaz
Rahmatollah Beheshti
98
4
0
22 Aug 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
129
1
0
16 Jul 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive
  Reinforcement
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik
Ozgur Guldogan
Upamanyu Madhow
Ramtin Pedarsani
69
0
0
10 Jul 2024
Auditing of AI: Legal, Ethical and Technical Approaches
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mokander
87
44
0
07 Jul 2024
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial
  Intelligence Act: What can they learn from each other?
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?
Jakob Mokander
Prathm Juneja
David S. Watson
Luciano Floridi
65
54
0
07 Jul 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Farnaz Kohankhaki
Shaina Raza
Oluwanifemi Bamgbose
D. Pandya
Elham Dolatabadi
CML
104
0
0
02 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations
Evaluating Model Performance Under Worst-case Subpopulations
Mike Li
Hongseok Namkoong
Shangzhou Xia
104
18
0
01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness
OxonFair: A Flexible Toolkit for Algorithmic Fairness
Eoin Delaney
Zihao Fu
Sandra Wachter
Brent Mittelstadt
Chris Russell
FaML
127
3
0
30 Jun 2024
Dataset Representativeness and Downstream Task Fairness
Dataset Representativeness and Downstream Task Fairness
Victor A. Borza
Andrew Estornell
Chien-Ju Ho
Bradley Malin
Yevgeniy Vorobeychik
75
0
0
28 Jun 2024
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network
  Fairness
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness
Kacy Zhou
Jiawen Wen
Nan Yang
Dong Yuan
Qinghua Lu
Huaming Chen
53
1
0
25 Jun 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem
Cherry on the Cake: Fairness is NOT an Optimization Problem
Marco Favier
T. Calders
57
1
0
24 Jun 2024
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical
  Behavior
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
Madeline Navarro
Samuel Rey
Andrei Buciulea
Antonio G. Marques
Santiago Segarra
161
6
0
13 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
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
141
4
0
10 Jun 2024
Group-wise oracle-efficient algorithms for online multi-group learning
Group-wise oracle-efficient algorithms for online multi-group learning
Samuel Deng
Daniel J. Hsu
Jingwen Liu
74
2
0
07 Jun 2024
Building Socially-Equitable Public Models
Building Socially-Equitable Public Models
Yejia Liu
Jianyi Yang
Pengfei Li
Tongxin Li
Shaolei Ren
OffRL
115
0
0
04 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
110
1
0
01 Jun 2024
Intersectional Unfairness Discovery
Intersectional Unfairness Discovery
Gezheng Xu
Qi Chen
Charles Ling
Boyu Wang
Changjian Shui
73
3
0
31 May 2024
Measuring and Mitigating Bias for Tabular Datasets with Multiple
  Protected Attributes
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes
Manh Khoi Duong
Stefan Conrad
120
1
0
29 May 2024
Towards Standardizing AI Bias Exploration
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis
Symeon Papadopoulos
102
3
0
29 May 2024
On Fairness of Low-Rank Adaptation of Large Models
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding
Ken Ziyu Liu
Pura Peetathawatchai
Berivan Isik
Sanmi Koyejo
81
5
0
27 May 2024
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