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The Equity Framework: Fairness Beyond Equalized Predictive Outcomes

The Equity Framework: Fairness Beyond Equalized Predictive Outcomes

18 April 2022
Keziah Naggita
J. C. Aguma
    FaML
ArXiv (abs)PDFHTML

Papers citing "The Equity Framework: Fairness Beyond Equalized Predictive Outcomes"

28 / 28 papers shown
Title
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of
  Opportunity
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity
David Liu
Zohair Shafi
W. Fleisher
Tina Eliassi-Rad
Scott Alfeld
42
9
0
16 Mar 2021
Measuring Model Biases in the Absence of Ground Truth
Measuring Model Biases in the Absence of Ground Truth
Osman Aka
Ken Burke
Alex Bauerle
Christina Greer
Margaret Mitchell
47
35
0
05 Mar 2021
Survey on Causal-based Machine Learning Fairness Notions
Survey on Causal-based Machine Learning Fairness Notions
K. Makhlouf
Sami Zhioua
C. Palamidessi
FaML
51
85
0
19 Oct 2020
The Strategic Perceptron
The Strategic Perceptron
Saba Ahmadi
Hedyeh Beyhaghi
Avrim Blum
Keziah Naggita
45
49
0
04 Aug 2020
On Fair Selection in the Presence of Implicit Variance
On Fair Selection in the Presence of Implicit Variance
V. Emelianov
Nicolas Gast
Krishna P. Gummadi
Patrick Loiseau
120
37
0
24 Jun 2020
Statistical Equity: A Fairness Classification Objective
Statistical Equity: A Fairness Classification Objective
Ninareh Mehrabi
Yuzhong Huang
Fred Morstatter
FaML
37
10
0
14 May 2020
Interventions for Ranking in the Presence of Implicit Bias
Interventions for Ranking in the Presence of Implicit Bias
L. E. Celis
Anay Mehrotra
Nisheeth K. Vishnoi
61
65
0
23 Jan 2020
Measurement and Fairness
Measurement and Fairness
Abigail Z. Jacobs
Hanna M. Wallach
78
390
0
11 Dec 2019
Strategic Classification is Causal Modeling in Disguise
Strategic Classification is Causal Modeling in Disguise
John Miller
S. Milli
Moritz Hardt
59
113
0
23 Oct 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDaFaML
568
4,353
0
23 Aug 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
Niki Kilbertus
Philip J. Ball
Matt J. Kusner
Adrian Weller
Ricardo M. A. Silva
69
58
0
01 Jul 2019
Fairness Through Causal Awareness: Learning Latent-Variable Models for
  Biased Data
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
56
133
0
07 Sep 2018
The Disparate Effects of Strategic Manipulation
The Disparate Effects of Strategic Manipulation
Lily Hu
Nicole Immorlica
Jennifer Wortman Vaughan
111
165
0
27 Aug 2018
The Social Cost of Strategic Classification
The Social Cost of Strategic Classification
S. Milli
John Miller
Anca Dragan
Moritz Hardt
47
181
0
25 Aug 2018
How Do Classifiers Induce Agents To Invest Effort Strategically?
How Do Classifiers Induce Agents To Invest Effort Strategically?
Jon M. Kleinberg
Manish Raghavan
90
144
0
13 Jul 2018
Fairness Under Composition
Fairness Under Composition
Cynthia Dwork
Christina Ilvento
FaML
85
126
0
15 Jun 2018
Datasheets for Datasets
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
264
2,184
0
23 Mar 2018
Selection Problems in the Presence of Implicit Bias
Selection Problems in the Presence of Implicit Bias
Jon M. Kleinberg
Manish Raghavan
55
93
0
04 Jan 2018
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg
L. Schiebinger
Dan Jurafsky
James Zou
AI4TS
69
965
0
22 Nov 2017
Strategic Classification from Revealed Preferences
Strategic Classification from Revealed Preferences
Jinshuo Dong
Aaron Roth
Zachary Schutzman
Bo Waggoner
Zhiwei Steven Wu
87
178
0
22 Oct 2017
Runaway Feedback Loops in Predictive Policing
Runaway Feedback Loops in Predictive Policing
D. Ensign
Sorelle A. Friedler
Scott Neville
C. Scheidegger
Suresh Venkatasubramanian
63
346
0
29 Jun 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
51
998
0
27 Mar 2017
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
Alexandra Chouldechova
FaML
300
2,114
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
228
4,312
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
119
1,775
0
19 Sep 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBMFaML
110
3,139
0
21 Jul 2016
Strategic Classification
Strategic Classification
Moritz Hardt
N. Megiddo
Christos H. Papadimitriou
Mary Wootters
74
371
0
23 Jun 2015
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
201
1,992
0
11 Dec 2014
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