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Inherent Trade-Offs in the Fair Determination of Risk Scores
v1v2 (latest)

Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
    FaML
ArXiv (abs)PDFHTML

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

50 / 747 papers shown
Title
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
Serdar Kadioğlu
Filip Michalsky
44
2
0
12 Feb 2024
Assessing Generalization for Subpopulation Representative Modeling via
  In-Context Learning
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
Gabriel Simmons
Vladislav Savinov
49
1
0
12 Feb 2024
Regression Trees for Fast and Adaptive Prediction Intervals
Regression Trees for Fast and Adaptive Prediction Intervals
Luben M. C. Cabezas
Mateus P. Otto
Rafael Izbicki
R. Stern
105
4
0
12 Feb 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
Agathe Fernandes Machado
Franccois Hu
Philipp Ratz
Ewen Gallic
Arthur Charpentier
97
1
0
29 Jan 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive
  Equality of Opportunity
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell
Joao Fonseca
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
FaML
118
2
0
29 Jan 2024
Omnipredictors for Regression and the Approximate Rank of Convex
  Functions
Omnipredictors for Regression and the Approximate Rank of Convex Functions
Parikshit Gopalan
Princewill Okoroafor
Prasad Raghavendra
Abhishek Shetty
Mihir Singhal
100
8
0
26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and
  Fairness Objective
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
97
3
0
25 Jan 2024
Reranking individuals: The effect of fair classification within-groups
Reranking individuals: The effect of fair classification within-groups
S. Goethals
T. Calders
FaML
84
1
0
24 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models
FairGridSearch: A Framework to Compare Fairness-Enhancing Models
Shih-Chi Ma
Tatiana Ermakova
Benjamin Fabian
FaML
70
0
0
04 Jan 2024
FairCompass: Operationalising Fairness in Machine Learning
FairCompass: Operationalising Fairness in Machine Learning
Jessica Liu
Huaming Chen
Jun Shen
Kim-Kwang Raymond Choo
FaML
67
6
0
27 Dec 2023
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms
  and Designing Systems
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems
Kimi Wenzel
Geoff F. Kaufman
Laura A. Dabbish
FaML
65
0
0
19 Dec 2023
Fair Active Learning in Low-Data Regimes
Fair Active Learning in Low-Data Regimes
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin Jamieson
FaML
59
1
0
13 Dec 2023
The Limits of Fair Medical Imaging AI In The Wild
The Limits of Fair Medical Imaging AI In The Wild
Yuzhe Yang
Haoran Zhang
Judy W. Gichoya
Dina Katabi
Marzyeh Ghassemi
77
6
0
11 Dec 2023
Detecting algorithmic bias in medical-AI models using trees
Detecting algorithmic bias in medical-AI models using trees
Jeffrey Smith
Andre L. Holder
Rishikesan Kamaleswaran
Yao Xie
125
1
0
05 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity
  Framework
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder
Dennis Frauen
Stefan Feuerriegel
CML
73
6
0
30 Nov 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured
  (D)ata
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata
Mark Díaz
Sunipa Dev
Emily Reif
Remi Denton
Vinodkumar Prabhakaran
103
4
0
28 Nov 2023
Fair Enough? A map of the current limitations of the requirements to
  have "fair" algorithms
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms
Alessandro Castelnovo
Nicole Inverardi
Gabriele Nanino
Ilaria Giuseppina Penco
D. Regoli
FaML
77
3
0
21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing
Measuring and Mitigating Biases in Motor Insurance Pricing
Mulah Moriah
Franck Vermet
Arthur Charpentier
77
1
0
20 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with
  Adversarial Filtering
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
57
2
0
13 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in
  Algorithms
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Kristof Meding
Thilo Hagendorff
57
7
0
12 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating
  Components
Procedural Fairness Through Decoupling Objectionable Data Generating Components
Zeyu Tang
Jialu Wang
Yang Liu
Peter Spirtes
Kun Zhang
52
2
0
05 Nov 2023
Calibration by Distribution Matching: Trainable Kernel Calibration
  Metrics
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
Charles Marx
Sofian Zalouk
Stefano Ermon
99
10
0
31 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and
  Group Fairness
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
Jacy Reese Anthis
Victor Veitch
82
16
0
30 Oct 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit
  Courts
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Elliott Ash
Naman Goel
Nianyun Li
Claudia Marangon
Peiyao Sun
162
2
0
28 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group
  Fairness
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness
Zachary McBride Lazri
Ivan Brugere
Xin Tian
Dana Dachman-Soled
Antigoni Polychroniadou
Danial Dervovic
Min Wu
70
1
0
23 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao
Zhanke Zhou
Zhicong Li
Bo Han
Yong Liu
99
5
0
17 Oct 2023
Towards Fair and Calibrated Models
Towards Fair and Calibrated Models
Anand Brahmbhatt
Vipul Rathore
Mausam
Parag Singla
FaML
52
2
0
16 Oct 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making:
  Protected vs Proxy Features
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
Navita Goyal
Connor Baumler
Tin Trung Nguyen
Hal Daumé
89
8
0
12 Oct 2023
Fair Classifiers that Abstain without Harm
Fair Classifiers that Abstain without Harm
Tongxin Yin
Jean-François Ton
Ruocheng Guo
Yuanshun Yao
Mingyan Liu
Yang Liu
62
5
0
09 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More
  Than a Fair Prediction Model
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
Teresa Scantamburlo
Joachim Baumann
Christoph Heitz
FaML
67
6
0
09 Oct 2023
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias
  From Neural Networks
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
90
3
0
08 Oct 2023
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
Zhenghai Xue
Qingpeng Cai
Tianyou Zuo
Bin Yang
Lantao Hu
Peng Jiang
Kun Gai
53
3
0
06 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination
Interventions Against Machine-Assisted Statistical Discrimination
John Y. Zhu
68
0
0
06 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic
  Algorithms
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms
James Brookhouse
Alex Freitas
FaML
48
2
0
04 Oct 2023
Bias and Fairness in Chatbots: An Overview
Bias and Fairness in Chatbots: An Overview
Jintang Xue
Yun Cheng Wang
Chengwei Wei
Xiaofeng Liu
Jonghye Woo
C.-C. Jay Kuo
115
35
0
16 Sep 2023
Re-formalization of Individual Fairness
Re-formalization of Individual Fairness
Toshihiro Kamishima
FaML
27
0
0
11 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using
  Causal Inference and Randomized Experiments
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments
James Enouen
Tianshu Sun
Yan Liu
FaML
60
0
0
04 Sep 2023
Fairness in Ranking under Disparate Uncertainty
Fairness in Ranking under Disparate Uncertainty
Richa Rastogi
Thorsten Joachims
96
3
0
04 Sep 2023
(Un)fair Exposure in Deep Face Rankings at a Distance
(Un)fair Exposure in Deep Face Rankings at a Distance
Andrea Atzori
Gianni Fenu
Mirko Marras
CVBM
82
1
0
22 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu
Weizhen Zeng
Ye Wang
80
3
0
05 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the
  Amplification of Inequity
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
S. Kim
Stefan Lessmann
G. Andreeva
Michael Rovatsos
FaML
71
5
0
01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness
LUCID-GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba
Carmen Mazijn
Carina E. A. Prunkl
J. Danckaert
Vincent Ginis
SyDa
97
1
0
28 Jul 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Sen Cui
Weishen Pan
Changshui Zhang
Fei Wang
57
12
0
27 Jul 2023
Explainable Disparity Compensation for Efficient Fair Ranking
Explainable Disparity Compensation for Efficient Fair Ranking
A. Gale
A. Marian
26
0
0
25 Jul 2023
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
Avrim Blum
Princewill Okoroafor
Aadirupa Saha
Kevin Stangl
74
2
0
21 Jul 2023
Navigating Fairness Measures and Trade-Offs
Navigating Fairness Measures and Trade-Offs
Stefan Buijsman
43
9
0
17 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of
  Entity Matching
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching
N. Shahbazi
Nikola Danevski
F. Nargesian
Abolfazl Asudeh
D. Srivastava
49
10
0
06 Jul 2023
Algorithms, Incentives, and Democracy
Algorithms, Incentives, and Democracy
E. M. Penn
John W. Patty
FaML
67
1
0
05 Jul 2023
FFPDG: Fast, Fair and Private Data Generation
FFPDG: Fast, Fair and Private Data Generation
Weijie Xu
Jinjin Zhao
Francis Iannacci
Bo Wang
83
12
0
30 Jun 2023
Insights From Insurance for Fair Machine Learning
Insights From Insurance for Fair Machine Learning
Christiane Fröhlich
Robert C. Williamson
FaML
70
8
0
26 Jun 2023
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