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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

8 November 2018
N. Saxena
Karen Huang
Evan DeFilippis
Goran Radanović
David C. Parkes
Yang Liu
    FaML
ArXivPDFHTML

Papers citing "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness"

50 / 55 papers shown
Title
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
Tin Nguyen
Jiannan Xu
Phuong-Anh Nguyen-Le
Jonathan Lazar
Donald Braman
Hal Daumé III
Zubin Jelveh
16
0
0
15 May 2025
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms
Gabriel Lima
Nina Grgic-Hlaca
Markus Langer
Yixin Zou
FaML
44
0
0
12 May 2025
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in
  Machine Learning Models for Educational Applications
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
Nga Pham
Minh Kha Do
Tran Vu Dai
Pham Ngoc Hung
Anh Nguyen-Duc
31
0
0
08 Oct 2024
Understanding Decision Subjects' Engagement with and Perceived Fairness
  of AI Models When Opportunities of Qualification Improvement Exist
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist
Meric Altug Gemalmaz
Ming Yin
31
0
0
04 Oct 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Anna P. Meyer
Yea-Seul Kim
Aws Albarghouthi
Loris DÁntoni
FaML
37
1
0
18 Sep 2024
Dynamic Fairness Perceptions in Human-Robot Interaction
Dynamic Fairness Perceptions in Human-Robot Interaction
Houston Claure
Kate Candon
Inyoung Shin
Marynel Vázquez
39
1
0
11 Sep 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
41
0
0
16 Jul 2024
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in
  LLMs for Depression Prediction
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Micol Spitale
Jiaee Cheong
Hatice Gunes
38
3
0
12 Jun 2024
Enhancing Fairness and Performance in Machine Learning Models: A
  Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
Khadija Zanna
Akane Sano
FaML
49
1
0
12 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
36
8
0
26 Mar 2024
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
30
2
0
05 Nov 2023
Trustworthy Representation Learning Across Domains
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng Li
FaML
AI4TS
39
2
0
23 Aug 2023
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms
  in Visualizations for Consensus Ranking
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
Hilson Shrestha
Kathleen Cachel
Mallak Alkhathlan
Elke A. Rundensteiner
Lane Harrison
29
3
0
11 Aug 2023
Reflective Hybrid Intelligence for Meaningful Human Control in
  Decision-Support Systems
Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems
Catholijn M. Jonker
Luciano Cavalcante Siebert
P. Murukannaiah
12
1
0
12 Jul 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of
  Methods and Evaluation
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
Bjørnar Vassøy
H. Langseth
FaML
42
5
0
16 May 2023
Towards Inclusive Fairness Evaluation via Eliciting Disagreement
  Feedback from Non-Expert Stakeholders
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
27
0
0
07 Apr 2023
Fairness Evaluation in Text Classification: Machine Learning
  Practitioner Perspectives of Individual and Group Fairness
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
Zahra Ashktorab
Benjamin Hoover
Mayank Agarwal
Casey Dugan
Werner Geyer
Han Yang
Mikhail Yurochkin
FaML
43
17
0
01 Mar 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural
  Networks
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks
Indro Spinelli
Riccardo Bianchini
Simone Scardapane
31
1
0
22 Feb 2023
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic
  Parity
Retiring ΔΔΔDP: New Distribution-Level Metrics for Demographic Parity
Xiaotian Han
Zhimeng Jiang
Hongye Jin
Zirui Liu
Na Zou
Qifan Wang
Xia Hu
35
4
0
31 Jan 2023
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
34
2
0
14 Dec 2022
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
29
83
0
09 Dec 2022
Epistemic vs. Counterfactual Fairness in Allocation of Resources
Epistemic vs. Counterfactual Fairness in Allocation of Resources
Hadi Hosseini
Joshua Kavner
Sujoy Sikdar
Rohit Vaish
Lirong Xia
15
2
0
08 Dec 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online
  Advertisement Auctioning
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
Xiaoli Tang
Han Yu
50
5
0
21 Sep 2022
Towards Fairness-Aware Multi-Objective Optimization
Towards Fairness-Aware Multi-Objective Optimization
Guo-Ding Yu
Lianbo Ma
W. Du
WenLi Du
Yaochu Jin
FaML
30
7
0
22 Jul 2022
What-is and How-to for Fairness in Machine Learning: A Survey,
  Reflection, and Perspective
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
33
26
0
08 Jun 2022
How Different Groups Prioritize Ethical Values for Responsible AI
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch
Zana Buçinca
Saleema Amershi
Alexandra Olteanu
56
95
0
16 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
"There Is Not Enough Information": On the Effects of Explanations on
  Perceptions of Informational Fairness and Trustworthiness in Automated
  Decision-Making
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
Jakob Schoeffer
Niklas Kuehl
Yvette Machowski
FaML
39
52
0
11 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness
Yuri Nakao
Simone Stumpf
Subeida Ahmed
A. Naseer
Lorenzo Strappelli
29
34
0
22 Apr 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback
  from Human Auditors Regarding Black-Box Classifiers
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
MLAU
FaML
20
0
0
16 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive
  Attention Alignment
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
Yuyang Gao
Tong Sun
Liang Zhao
Sungsoo Ray Hong
HAI
28
37
0
06 Feb 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences
The Fairness Field Guide: Perspectives from Social and Formal Sciences
Alycia N. Carey
Xintao Wu
FaML
24
5
0
13 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the
  Foundations of Explainable Artificial Intelligence
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
41
21
0
29 Dec 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
196
0
12 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to
  Traditional Fairness Notions
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
20
0
0
29 Jun 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep
  Learning
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Neehar Peri
Michael J. Curry
Samuel Dooley
John P. Dickerson
14
30
0
06 Jun 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph
  Representation Learning
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
Indro Spinelli
Simone Scardapane
Amir Hussain
A. Uncini
FaML
41
81
0
29 Apr 2021
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
C. Starke
Janine Baleis
Birte Keller
Frank Marcinkowski
FaML
17
143
0
22 Mar 2021
Responsible AI: Gender bias assessment in emotion recognition
Responsible AI: Gender bias assessment in emotion recognition
Artem Domnich
G. Anbarjafari
27
48
0
21 Mar 2021
Fairness and Transparency in Recommendation: The Users' Perspective
Fairness and Transparency in Recommendation: The Users' Perspective
Nasim Sonboli
Jessie J. Smith
Florencia Cabral Berenfus
Robin Burke
Casey Fiesler
FaML
28
65
0
16 Mar 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
21
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
23
66
0
01 Feb 2021
Human Perceptions on Moral Responsibility of AI: A Case Study in
  AI-Assisted Bail Decision-Making
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making
Gabriel Lima
Nina Grgic-Hlaca
M. Cha
11
67
0
01 Feb 2021
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
Gabriel Lima
M. Cha
10
5
0
15 Jan 2021
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker
  Incentives
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives
Angie Peng
Jeffrey Naecker
B. Hutchinson
A. Smart
Nyalleng Moorosi
30
0
0
08 Dec 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic
  Fairness
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro
R. Maio
F. Monachou
Gourab K. Patro
Manish Raghavan
Ana-Andreea Stoica
Stratis Tsirtsis
FaML
26
56
0
12 Oct 2020
On the Identification of Fair Auditors to Evaluate Recommender Systems
  based on a Novel Non-Comparative Fairness Notion
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion
Mukund Telukunta
Venkata Sriram Siddhardh Nadendla
FaML
16
0
0
09 Sep 2020
Quota-based debiasing can decrease representation of already
  underrepresented groups
Quota-based debiasing can decrease representation of already underrepresented groups
Ivan Smirnov
Florian Lemmerich
Markus Strohmaier
13
1
0
13 Jun 2020
Statistical Equity: A Fairness Classification Objective
Statistical Equity: A Fairness Classification Objective
Ninareh Mehrabi
Yuzhong Huang
Fred Morstatter
FaML
20
10
0
14 May 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
25
38
0
02 May 2020
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