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Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments

Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

24 October 2016
Alexandra Chouldechova
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"

50 / 866 papers shown
Title
On the Richness of Calibration
On the Richness of Calibration
Benedikt Höltgen
Robert C. Williamson
95
10
0
08 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of
  Machine Unlearning Methods
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods
Dawen Zhang
Shidong Pan
Thong Hoang
Zhenchang Xing
Mark Staples
Xiwei Xu
Lina Yao
Qinghua Lu
Liming Zhu
MU
80
23
0
07 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy
An Empirical Analysis of Fairness Notions under Differential Privacy
Anderson Santana de Oliveira
Caelin Kaplan
Khawla Mallat
Tanmay Chakraborty
FedML
112
8
0
06 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Sina shaham
Gabriel Ghinita
Cyrus Shahabi
71
0
0
05 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to
  Intervene
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu
Xiaotong Chen
Ying Han
Hongseok Namkoong
Kinjal Basu
84
1
0
03 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of
  "Artificial Intelligence as a Service"
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
117
27
0
02 Feb 2023
On the Within-Group Fairness of Screening Classifiers
On the Within-Group Fairness of Screening Classifiers
Nastaran Okati
Stratis Tsirtsis
Manuel Gomez Rodriguez
146
2
0
31 Jan 2023
Superhuman Fairness
Superhuman Fairness
Omid Memarrast
Linh Vu
Brian Ziebart
FaML
68
2
0
31 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness
  Interventions
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Hao Wang
Luxi He
Rui Gao
Flavio du Pin Calmon
75
16
0
27 Jan 2023
Increasing Fairness via Combination with Learning Guarantees
Increasing Fairness via Combination with Learning Guarantees
Yijun Bian
Kun Zhang
FaML
206
3
0
25 Jan 2023
Properties of Group Fairness Metrics for Rankings
Properties of Group Fairness Metrics for Rankings
Tobias Schumacher
Marlene Lutz
Sandipan Sikdar
M. Strohmaier
67
4
0
29 Dec 2022
Stochastic Methods for AUC Optimization subject to AUC-based Fairness
  Constraints
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
Yao Yao
Qihang Lin
Tianbao Yang
FaML
144
9
0
23 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data
PreFair: Privately Generating Justifiably Fair Synthetic Data
David Pujol
Amir Gilad
Ashwin Machanavajjhala
97
8
0
20 Dec 2022
Robust Design and Evaluation of Predictive Algorithms under Unobserved
  Confounding
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
Ashesh Rambachan
Amanda Coston
Edward H. Kennedy
127
4
0
19 Dec 2022
Tensions Between the Proxies of Human Values in AI
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
103
3
0
14 Dec 2022
Fairify: Fairness Verification of Neural Networks
Fairify: Fairness Verification of Neural Networks
Sumon Biswas
Hridesh Rajan
113
28
0
08 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine
  Learning
Towards Understanding Fairness and its Composition in Ensemble Machine Learning
Usman Gohar
Sumon Biswas
Hridesh Rajan
FaMLFedML
97
28
0
08 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
Soheil Feizi
222
16
0
05 Dec 2022
Certifying Fairness of Probabilistic Circuits
Certifying Fairness of Probabilistic Circuits
Nikil Selvam
Karen Ullrich
YooJung Choi
FaMLTPM
91
6
0
05 Dec 2022
Fairness in Contextual Resource Allocation Systems: Metrics and
  Incompatibility Results
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
Nathanael Jo
Bill Tang
Kathryn Dullerud
S. Aghaei
Eric Rice
P. Vayanos
86
9
0
04 Dec 2022
Causal Fairness Assessment of Treatment Allocation with Electronic
  Health Records
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
Linying Zhang
L. Richter
Yixin Wang
A. Ostropolets
Noémie Elhadad
David M. Blei
G. Hripcsak
CML
84
3
0
21 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments
A Survey on Preserving Fairness Guarantees in Changing Environments
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
FaML
100
3
0
14 Nov 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be
  Effective for Detecting Unknown Spurious Correlations
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
Shea Cardozo
Gabriel Islas Montero
Dmitry Kazhdan
B. Dimanov
Maleakhi A. Wijaya
M. Jamnik
Pietro Lio
AAML
91
0
0
14 Nov 2022
Fair and Optimal Classification via Post-Processing
Fair and Optimal Classification via Post-Processing
Ruicheng Xian
Lang Yin
Han Zhao
FaML
201
35
0
03 Nov 2022
I Prefer not to Say: Protecting User Consent in Models with Optional
  Personal Data
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
Tobias Leemann
Martin Pawelczyk
Christian Thomas Eberle
Gjergji Kasneci
115
1
0
25 Oct 2022
Abstract Interpretation-Based Feature Importance for SVMs
Abstract Interpretation-Based Feature Importance for SVMs
Abhinanda Pal
Francesco Ranzato
Caterina Urban
Marco Zanella
FAtt
84
0
0
22 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups
On Learning Fairness and Accuracy on Multiple Subgroups
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles Ling
Tal Arbel
Boyu Wang
Christian Gagné
123
40
0
19 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral
  Assessment to Implementation
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation
Joachim Baumann
Christoph Heitz
74
8
0
19 Oct 2022
A survey of Identification and mitigation of Machine Learning
  algorithmic biases in Image Analysis
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Laurent Risser
Agustin Picard
Lucas Hervier
Jean-Michel Loubes
FaML
98
6
0
10 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
Angelie Kraft
Ricardo Usbeck
KELM
102
9
0
07 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing
  Sensitive Attributes
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Zehua Wang
127
25
0
06 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic
  Fairness Research with U.S. Fair Lending Regulation
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
Indra Elizabeth Kumar
Keegan E. Hines
John P. Dickerson
FaML
123
24
0
05 Oct 2022
Conformalized Fairness via Quantile Regression
Conformalized Fairness via Quantile Regression
Meichen Liu
Lei Ding
Dengdeng Yu
Wulong Liu
Linglong Kong
Bei Jiang
263
11
0
05 Oct 2022
Towards Equalised Odds as Fairness Metric in Academic Performance
  Prediction
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction
Jannik Dunkelau
Manh Khoi Duong
FaML
75
4
0
29 Sep 2022
Fair admission risk prediction with proportional multicalibration
Fair admission risk prediction with proportional multicalibration
William La Cava
Elle Lett
Guangya Wan
140
8
0
29 Sep 2022
Learning When to Advise Human Decision Makers
Learning When to Advise Human Decision Makers
Gali Noti
Yiling Chen
135
19
0
27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI
  Decision-Making
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
211
55
0
23 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making
SCALES: From Fairness Principles to Constrained Decision-Making
Sreejith Balakrishnan
Jianxin Bi
Harold Soh
FaML
134
3
0
22 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
134
49
0
21 Sep 2022
TimberTrek: Exploring and Curating Sparse Decision Trees with
  Interactive Visualization
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization
Zijie J. Wang
Chudi Zhong
Rui Xin
Takuya Takagi
Zhi Chen
Duen Horng Chau
Cynthia Rudin
Margo Seltzer
81
19
0
19 Sep 2022
Survey on Fairness Notions and Related Tensions
Survey on Fairness Notions and Related Tensions
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
123
27
0
16 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional
  Robustness
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri
Kiarash Banihashem
Soheil Feizi
OOD
165
24
0
15 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
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
Benjamin Fish
Luke Stark
FaML
91
8
0
12 Sep 2022
Mathematical Framework for Online Social Media Auditing
Mathematical Framework for Online Social Media Auditing
Wasim Huleihel
Yehonathan Refael
MLAU
83
2
0
12 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Fairness in Forecasting of Observations of Linear Dynamical Systems
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
167
5
0
12 Sep 2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine
  Similarity on Machine-Assisted Decision-Making
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making
Nina Grgic-Hlaca
C. Castelluccia
Krishna P. Gummadi
HAI
95
13
0
08 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
AAML
78
14
0
02 Sep 2022
Generalization In Multi-Objective Machine Learning
Generalization In Multi-Objective Machine Learning
Peter Súkeník
Christoph H. Lampert
AI4CE
106
6
0
29 Aug 2022
Pushing the limits of fairness impossibility: Who's the fairest of them
  all?
Pushing the limits of fairness impossibility: Who's the fairest of them all?
Brian Hsu
Rahul Mazumder
Preetam Nandy
Kinjal Basu
76
3
0
24 Aug 2022
Enforcing Delayed-Impact Fairness Guarantees
Enforcing Delayed-Impact Fairness Guarantees
Aline Weber
Blossom Metevier
Yuriy Brun
Philip S. Thomas
Bruno Castro da Silva
FaML
210
11
0
24 Aug 2022
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