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1807.08362
Cited By
An Intersectional Definition of Fairness
22 July 2018
James R. Foulds
Rashidul Islam
Kamrun Naher Keya
Shimei Pan
FaML
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Papers citing
"An Intersectional Definition of Fairness"
49 / 49 papers shown
Title
Intersectional Divergence: Measuring Fairness in Regression
Joe Germino
Nuno Moniz
Nitesh Chawla
FaML
68
0
0
01 May 2025
M
2
^2
2
FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen S. B. Pereira
Giovani Valdrighi
Marcos Medeiros Raimundo
FaML
44
0
0
16 Apr 2025
Interpretable and Fair Mechanisms for Abstaining Classifiers
Daphne Lenders
Andrea Pugnana
Roberto Pellungrini
Toon Calders
D. Pedreschi
F. Giannotti
FaML
99
1
0
24 Mar 2025
Measuring directional bias amplification in image captions using predictability
Rahul Nair
Bhanu Tokas
Neel Shah
Hannah Kerner
53
0
0
10 Mar 2025
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung
T. Jang
Xiaoqian Wang
VLM
29
2
0
10 Oct 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
41
0
0
16 Jul 2024
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis
Symeon Papadopoulos
40
3
0
29 May 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure
Gaurav Maheshwari
A. Bellet
Pascal Denis
Mikaela Keller
57
1
0
23 May 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
38
8
0
26 Mar 2024
A structured regression approach for evaluating model performance across intersectional subgroups
Christine Herlihy
Kimberly Truong
Alexandra Chouldechova
Miroslav Dudik
46
4
0
26 Jan 2024
Designing Long-term Group Fair Policies in Dynamical Systems
Miriam Rateike
Isabel Valera
Patrick Forré
42
4
0
21 Nov 2023
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
Furkan Gursoy
I. Kakadiaris
33
4
0
02 Jul 2023
Intersectionality and Testimonial Injustice in Medical Records
Kenya Andrews
Bhuvani Shah
Lu Cheng
31
0
0
20 Jun 2023
How to address monotonicity for model risk management?
Dangxing Chen
Weicheng Ye
21
5
0
28 Apr 2023
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
Francesco Di Carlo
Nazanin Nezami
Hadis Anahideh
Abolfazl Asudeh
22
1
0
10 Apr 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing
Sofia Yfantidou
Marios Constantinides
Dimitris Spathis
Athena Vakali
Daniele Quercia
F. Kawsar
HAI
FaML
30
18
0
27 Mar 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview
Arjun Roy
J. Horstmann
Eirini Ntoutsi
FaML
21
20
0
12 Feb 2023
Matrix Estimation for Individual Fairness
Cindy Y. Zhang
Sarah H. Cen
Devavrat Shah
FaML
36
4
0
04 Feb 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
35
13
0
18 Jan 2023
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance
Dangxing Chen
Luyao Zhang
SyDa
35
6
0
17 Jan 2023
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems
Huong Ha
19
0
0
16 Dec 2022
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics
Shu Hu
George H. Chen
24
13
0
18 Nov 2022
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
Carlos Alejandro Aguirre
Mark Dredze
Philip Resnik
27
0
0
15 Nov 2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
Tennison Liu
Alex J. Chan
B. V. Breugel
M. Schaar
FaML
25
2
0
11 Nov 2022
Fair Inference for Discrete Latent Variable Models
Rashidul Islam
Shimei Pan
James R. Foulds
FaML
48
1
0
15 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
45
5
0
12 Sep 2022
Fair mapping
Sébastien Gambs
Rosin Claude Ngueveu
42
0
0
01 Sep 2022
Debiasing Word Embeddings with Nonlinear Geometry
Lu Cheng
Nayoung Kim
Huan Liu
24
5
0
29 Aug 2022
Multiple Attribute Fairness: Application to Fraud Detection
Meghanath Macha Yadagiri
S. Ravindran
Deepak Pai
A. Narang
V. Srivastava
35
1
0
28 Jul 2022
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking
Kathleen Cachel
Elke A. Rundensteiner
Lane Harrison
FaML
21
11
0
20 Jul 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness
M. Molina
P. Loiseau
34
8
0
12 Jun 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Angelina Wang
V. V. Ramaswamy
Olga Russakovsky
FaML
31
92
0
10 May 2022
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches
Lindsay Weinberg
FaML
SyDa
34
58
0
06 May 2022
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization
Jesse Hoey
G. Chan
24
1
0
02 May 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features
Stelios Boulitsakis-Logothetis
FaML
24
5
0
23 Feb 2022
A Systematic Study of Bias Amplification
Melissa Hall
Laurens van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
104
71
0
27 Jan 2022
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
34
36
0
04 Nov 2021
Disaggregated Interventions to Reduce Inequality
Lucius E.J. Bynum
Joshua R. Loftus
Julia Stoyanovich
42
13
0
01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
59
95
0
01 Jul 2021
Improving Fairness of AI Systems with Lossless De-biasing
Yan Zhou
Murat Kantarcioglu
Chris Clifton
33
12
0
10 May 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
Hantian Zhang
Xu Chu
Abolfazl Asudeh
S. Navathe
FaML
VLM
29
45
0
13 Mar 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Rose Kirk
Yennie Jun
Haider Iqbal
Elias Benussi
Filippo Volpin
F. Dreyer
Aleksandar Shtedritski
Yuki M. Asano
22
181
0
08 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Maliha Tashfia Islam
Anna Fariha
A. Meliou
Babak Salimi
FaML
30
25
0
18 Jan 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
A. Ghosh
Lea Genuit
Mary Reagan
FaML
94
51
0
05 Jan 2021
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification
Kenji Kobayashi
Yuri Nakao
FaML
30
8
0
26 Oct 2020
Causal intersectionality for fair ranking
Ke Yang
Joshua R. Loftus
Julia Stoyanovich
35
40
0
15 Jun 2020
Fairness in Forecasting and Learning Linear Dynamical Systems
Quan-Gen Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
34
7
0
12 Jun 2020
Theory In, Theory Out: The uses of social theory in machine learning for social science
J. Radford
K. Joseph
16
44
0
09 Jan 2020
Auditing and Achieving Intersectional Fairness in Classification Problems
Giulio Morina
V. Oliinyk
J. Waton
Ines Marusic
K. Georgatzis
FaML
19
39
0
04 Nov 2019
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