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Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review
  of the Empirical Literature

Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature

22 March 2021
C. Starke
Janine Baleis
Birte Keller
Frank Marcinkowski
    FaML
ArXivPDFHTML

Papers citing "Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature"

24 / 24 papers shown
Title
Personalized Help for Optimizing Low-Skilled Users' Strategy
Personalized Help for Optimizing Low-Skilled Users' Strategy
Feng Gu
Wichayaporn Wongkamjan
Jordan Lee Boyd-Graber
Jonathan K. Kummerfeld
Denis Peskoff
Jonathan May
86
0
0
14 Nov 2024
Understanding Relations Between Perception of Fairness and Trust in
  Algorithmic Decision Making
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making
Jianlong Zhou
Sunny Verma
Mudit Mittal
Fang Chen
FaML
43
9
0
29 Sep 2021
A Study on Fairness and Trust Perceptions in Automated Decision Making
A Study on Fairness and Trust Perceptions in Automated Decision Making
Jakob Schoeffer
Yvette Machowski
Niklas Kuehl
37
16
0
08 Mar 2021
Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) --
  Potentials and Pitfalls for Top-down and Bottom-up Approaches
Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches
N. Köbis
C. Starke
Iyad Rahwan
57
11
0
23 Feb 2021
The FairCeptron: A Framework for Measuring Human Perceptions of
  Algorithmic Fairness
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
Georg Ahnert
Ivan Smirnov
Florian Lemmerich
Claudia Wagner
M. Strohmaier
FaML
32
2
0
08 Feb 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment
  Predictive Systems
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems
H. Cheng
Logan Stapleton
Ruiqi Wang
Paige E Bullock
Alexandra Chouldechova
Zhiwei Steven Wu
Haiyi Zhu
FaML
36
66
0
01 Feb 2021
Re-imagining Algorithmic Fairness in India and Beyond
Re-imagining Algorithmic Fairness in India and Beyond
Nithya Sambasivan
Erin Arnesen
Ben Hutchinson
Tulsee Doshi
Vinodkumar Prabhakaran
FaML
63
182
0
25 Jan 2021
The Threats of Artificial Intelligence Scale (TAI). Development,
  Measurement and Test Over Three Application Domains
The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains
Kimon Kieslich
Marco Lünich
Frank Marcinkowski
30
52
0
12 Jun 2020
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
Nina Grgic-Hlaca
Gabriel Lima
Adrian Weller
Elissa M. Redmiles
FaML
49
39
0
02 May 2020
Exploring User Opinions of Fairness in Recommender Systems
Exploring User Opinions of Fairness in Recommender Systems
Jessie J. Smith
Nasim Sonboli
Casey Fiesler
Robin Burke
FaML
45
15
0
13 Mar 2020
Factors Influencing Perceived Fairness in Algorithmic Decision-Making:
  Algorithm Outcomes, Development Procedures, and Individual Differences
Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences
Ruotong Wang
F. M. Harper
Haiyi Zhu
FaML
51
182
0
27 Jan 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
Artificial Intelligence: the global landscape of ethics guidelines
Artificial Intelligence: the global landscape of ethics guidelines
Anna Jobin
M. Ienca
E. Vayena
74
1,627
0
24 Jun 2019
Explaining Models: An Empirical Study of How Explanations Impact
  Fairness Judgment
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
Jonathan Dodge
Q. V. Liao
Yunfeng Zhang
Rachel K. E. Bellamy
Casey Dugan
FaML
49
126
0
23 Jan 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning
50 Years of Test (Un)fairness: Lessons for Machine Learning
Ben Hutchinson
Margaret Mitchell
AILaw
FaML
56
358
0
25 Nov 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
177
0
08 Nov 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
56
229
0
26 Feb 2018
Ít's Reducing a Human Being to a Percentage'; Perceptions of Justice in
  Algorithmic Decisions
Ít's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions
Reuben Binns
Max Van Kleek
Michael Veale
Ulrik Lyngs
Jun Zhao
N. Shadbolt
FaML
53
534
0
31 Jan 2018
On Formalizing Fairness in Prediction with Machine Learning
On Formalizing Fairness in Prediction with Machine Learning
Pratik Gajane
Mykola Pechenizkiy
FaML
134
211
0
09 Oct 2017
From Parity to Preference-based Notions of Fairness in Classification
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
Adrian Weller
FaML
71
209
0
30 Jun 2017
Counterfactual Fairness
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
197
1,576
0
20 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
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
194
4,301
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
99
1,767
0
19 Sep 2016
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