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A Human-in-the-loop Framework to Construct Context-aware Mathematical
  Notions of Outcome Fairness

A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness

8 November 2019
Mohammad Yaghini
A. Krause
Hoda Heidari
    FaML
ArXivPDFHTML

Papers citing "A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness"

12 / 12 papers shown
Title
Adapting a Kidney Exchange Algorithm to Align with Human Values
Adapting a Kidney Exchange Algorithm to Align with Human Values
Rachel Freedman
Jana Schaich Borg
Walter Sinnott-Armstrong
John P. Dickerson
Vincent Conitzer
34
120
0
19 May 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
Debjani Saha
Candice Schumann
Duncan C. McElfresh
John P. Dickerson
Michelle L. Mazurek
Michael Carl Tschantz
FaML
54
16
0
17 Dec 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
245
755
0
13 Dec 2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards
  Algorithmic Definitions of Fairness
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
N. Saxena
Karen Huang
Evan DeFilippis
Goran Radanović
David C. Parkes
Yang Liu
FaML
56
178
0
08 Nov 2018
A Moral Framework for Understanding of Fair ML through Economic Models
  of Equality of Opportunity
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
Hoda Heidari
M. Loi
Krishna P. Gummadi
Andreas Krause
FaML
51
121
0
10 Sep 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case
  Study of Criminal Risk Prediction
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
Nina Grgic-Hlaca
Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
FaML
62
230
0
26 Feb 2018
Fairness and Accountability Design Needs for Algorithmic Support in
  High-Stakes Public Sector Decision-Making
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making
Michael Veale
Max Van Kleek
Reuben Binns
51
419
0
03 Feb 2018
A Voting-Based System for Ethical Decision Making
A Voting-Based System for Ethical Decision Making
Ritesh Noothigattu
Snehalkumar Ñeil' S. Gaikwad
E. Awad
Sohan Dsouza
Iyad Rahwan
Pradeep Ravikumar
Ariel D. Procaccia
FaML
38
199
0
20 Sep 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning
  Classification without Disparate Mistreatment
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
186
1,205
0
26 Oct 2016
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
295
2,109
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
213
4,305
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
102
1,768
0
19 Sep 2016
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