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1809.03400
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A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
10 September 2018
Hoda Heidari
M. Loi
Krishna P. Gummadi
Andreas Krause
FaML
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Papers citing
"A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity"
50 / 57 papers shown
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
Ainhize Barrainkua
Giovanni De Toni
Jose A. Lozano
Novi Quadrianto
FaML
367
0
0
04 Sep 2025
Welfare-Centric Clustering
Claire Jie Zhang
Seyed-Alireza Esmaeili
Jamie Morgenstern
108
0
0
14 Aug 2025
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
ACM Journal on Responsible Computing (JRC), 2025
Youjin Kong
FaML
227
1
0
20 Jun 2025
Policy Design in Long-Run Welfare Dynamics
International Conference on Learning Representations (ICLR), 2025
Jiduan Wu
Rediet Abebe
Moritz Hardt
Ana-Andreea Stoica
142
0
0
01 Mar 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination provisions for high-risk systems in the EU AI Act
Kristof Meding
FaML
414
3
0
22 Jan 2025
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
Sribala Vidyadhari Chinta
Sribala Vidyadhari Chinta
Zhipeng Yin
Matthew Gonzalez
Matthew Gonzalez
250
64
0
26 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems
Holli Sargeant
Måns Magnusson
FaML
485
3
0
29 Jun 2024
The Unfairness of
ε
\varepsilon
ε
-Fairness
T. Fadina
Thorsten Schmidt
152
0
0
15 May 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell
Joao Fonseca
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
FaML
313
4
0
29 Jan 2024
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Kristof Meding
Thilo Hagendorff
155
8
0
12 Nov 2023
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics
Carlos Mougan
Joshua Brand
224
0
0
09 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components
International Conference on Learning Representations (ICLR), 2023
Zeyu Tang
Jialu Wang
Yang Liu
Peter Spirtes
Kun Zhang
327
3
0
05 Nov 2023
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
PLoS ONE (PLoS ONE), 2023
Mayana Pereira
Meghana Kshirsagar
Soumendu Sundar Mukherjee
Rahul Dodhia
J. L. Ferres
Rafael de Sousa
SyDa
224
15
0
30 Oct 2023
FFPDG: Fast, Fair and Private Data Generation
Weijie Xu
Jinjin Zhao
Francis Iannacci
Bo Wang
191
13
0
30 Jun 2023
Insights From Insurance for Fair Machine Learning
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Christiane Fröhlich
Robert C. Williamson
FaML
239
9
0
26 Jun 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
Yacine Belal
Sonia Ben Mokhtar
Hamed Haddadi
Jaron Wang
A. Mashhadi
FedML
418
19
0
09 May 2023
Beyond Demographic Parity: Redefining Equal Treatment
Carlos Mougan
Laura State
Antonio Ferrara
Salvatore Ruggieri
Steffen Staab
FaML
431
2
0
14 Mar 2023
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning
Jaspreet Ranjit
Tianlu Wang
Baishakhi Ray
Vicente Ordonez
267
2
0
14 Mar 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions
Manish Nagireddy
Moninder Singh
Samuel C. Hoffman
Evaline Ju
Karthikeyan N. Ramamurthy
Kush R. Varshney
260
1
0
17 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness
Daniel E. Rigobon
FaML
154
2
0
07 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
267
7
0
13 Jan 2023
Counterfactuals for the Future
AAAI Conference on Artificial Intelligence (AAAI), 2022
Lucius E.J. Bynum
Joshua R. Loftus
Julia Stoyanovich
169
12
0
07 Dec 2022
Mitigating Health Disparities in EHR via Deconfounder
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2022
Zheng Liu
Xiaohan Li
Philip Yu
CML
160
11
0
28 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation
Swiss Conference on Data Science (SDS), 2022
Joachim Baumann
Christoph Heitz
127
8
0
19 Oct 2022
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation
Alessandro Castelnovo
Riccardo Crupi
Nicole Inverardi
D. Regoli
A. Cosentini
SyDa
151
4
0
13 Sep 2022
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Benjamin Fish
Luke Stark
FaML
160
8
0
12 Sep 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
Neural Information Processing Systems (NeurIPS), 2022
Beepul Bharti
Paul H. Yi
Jeremias Sulam
320
7
0
25 Jul 2022
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Falaah Arif Khan
Eleni Manis
Julia Stoyanovich
FaML
138
20
0
06 Jul 2022
Achievement and Fragility of Long-term Equitability
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Andrea Simonetto
Ivano Notarnicola
203
1
0
24 Jun 2022
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Emily Black
Hadi Elzayn
Alexandra Chouldechova
Jacob Goldin
Mark A. Lemley
MLAU
115
32
0
20 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
ACM Computing Surveys (ACM CSUR), 2022
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
412
35
0
08 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics
Joachim Baumann
Corinna Hertweck
M. Loi
Christoph Heitz
248
11
0
06 Jun 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs
Corinna Hertweck
Joachim Baumann
M. Loi
Eleonora Viganò
Christoph Heitz
FaML
173
5
0
06 Jun 2022
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Atoosa Kasirzadeh
FaML
172
48
0
02 Jun 2022
Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory
Conference on Fairness, Accountability and Transparency (FAccT), 2022
M. Loi
Christoph Heitz
FaML
204
16
0
11 May 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features
Stelios Boulitsakis-Logothetis
FaML
152
6
0
23 Feb 2022
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
Hilde J. P. Weerts
Lambèr M. M. Royakkers
Mykola Pechenizkiy
FaML
202
9
0
17 Feb 2022
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables
S. Centorrino
J. Florens
Jean-Michel Loubes
FaML
181
2
0
16 Feb 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences
Alycia N. Carey
Xintao Wu
FaML
146
7
0
13 Jan 2022
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This
Gábor Erdélyi
Olivia J. Erdélyi
V. Estivill-Castro
FaML
85
3
0
15 Nov 2021
Two-sided fairness in rankings via Lorenz dominance
Neural Information Processing Systems (NeurIPS), 2021
Virginie Do
S. Corbett-Davies
Jamal Atif
Nicolas Usunier
FaML
180
55
0
28 Oct 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
199
118
0
27 Sep 2021
Gradual (In)Compatibility of Fairness Criteria
AAAI Conference on Artificial Intelligence (AAAI), 2021
Corinna Hertweck
T. Raz
248
15
0
09 Sep 2021
Disaggregated Interventions to Reduce Inequality
Lucius E.J. Bynum
Joshua R. Loftus
Julia Stoyanovich
282
13
0
01 Jul 2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira
Meghana Kshirsagar
Soumendu Sundar Mukherjee
Rahul Dodhia
J. L. Ferres
196
10
0
15 Jun 2021
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy
Falaah Arif Khan
Eleni Manis
Julia Stoyanovich
FaML
86
10
0
15 Jun 2021
Rawlsian Fair Adaptation of Deep Learning Classifiers
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Kulin Shah
Pooja Gupta
Amit Deshpande
Chiranjib Bhattacharyya
FaML
157
12
0
31 May 2021
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
M. Kuppler
Christoph Kern
Ruben L. Bach
Frauke Kreuter
FaML
150
21
0
04 May 2021
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
David Liu
Zohair Shafi
W. Fleisher
Tina Eliassi-Rad
Scott Alfeld
119
9
0
16 Mar 2021
Fairness through Social Welfare Optimization
V. Chen
J. N. Hooker
401
5
0
30 Jan 2021
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