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1908.00176
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FairSight: Visual Analytics for Fairness in Decision Making
1 August 2019
Yongsu Ahn
Y. Lin
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Papers citing
"FairSight: Visual Analytics for Fairness in Decision Making"
50 / 62 papers shown
Title
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BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents
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Mingyu Derek Ma
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Zhaotian Weng
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07 Apr 2025
Towards Multi-Stakeholder Evaluation of ML Models: A Crowdsourcing Study on Metric Preferences in Job-matching System
Takuya Yokota
Yuri Nakao
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03 Mar 2025
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
Catherine Yeh
Donghao Ren
Yannick Assogba
Dominik Moritz
Fred Hohman
105
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01 Oct 2024
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
Yongsu Ahn
Quinn K. Wolter
Jonilyn Dick
Janet Dick
Yu-Ru Lin
HAI
103
0
0
10 Sep 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
127
1
0
16 Jul 2024
ViSTooth: A Visualization Framework for Tooth Segmentation on Panoramic Radiograph
Shenji Zhu
Miaoxin Hu
Tianya Pan
Yue Hong
Bin Li
Zhiguang Zhou
Ting Xu
54
0
0
14 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
76
4
0
29 Apr 2024
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
Fred Hohman
Chaoqun Wang
Jinmook Lee
Jochen Görtler
Dominik Moritz
Jeffrey P. Bigham
Zhile Ren
Cecile Foret
Qi Shan
Xiaoyi Zhang
116
7
0
03 Apr 2024
ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale
Jinbin Huang
Chong Chen
Aditi Mishra
Bum Chul Kwon
Zhicheng Liu
Chris Bryan
95
4
0
03 Apr 2024
How to be fair? A study of label and selection bias
Marco Favier
T. Calders
Sam Pinxteren
Jonathan Meyer
93
9
0
21 Mar 2024
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
Dalia Gala
Milo Phillips-Brown
Naman Goel
Carinal Prunkl
L. A. Jubete
Medb Corcoran
Ray Eitel-Porter
49
0
0
09 Mar 2024
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
Yongsu Ahn
Yu-Ru Lin
CML
61
3
0
29 Dec 2023
FairCompass: Operationalising Fairness in Machine Learning
Jessica Liu
Huaming Chen
Jun Shen
Kim-Kwang Raymond Choo
FaML
67
6
0
27 Dec 2023
A Critical Survey on Fairness Benefits of Explainable AI
Luca Deck
Jakob Schoeffer
Maria De-Arteaga
Niklas Kühl
149
14
0
15 Oct 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Munib Mesinovic
Peter Watkinson
Ting Zhu
FaML
74
3
0
16 Aug 2023
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
141
5
0
11 Aug 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
Aimen Gaba
Zhanna Kaufman
Jason Chueng
Marie Shvakel
Kyle Wm. Hall
Yuriy Brun
Cindy Xiong Bearfield
63
14
0
07 Aug 2023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
Xian Teng
Yongsu Ahn
Y. Lin
CML
69
5
0
26 Jul 2023
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations
Jianing Hao
Qing Shi
Yilin Ye
Weizhen Zeng
AI4TS
125
5
0
19 Jul 2023
From Information to Choice: A Critical Inquiry Into Visualization Tools for Decision Making
E. Oral
Ria Chawla
Michel Wijkstra
Narges Mahyar
Evanthia Dimara
98
14
0
17 Jul 2023
Visual Analytics For Machine Learning: A Data Perspective Survey
Junpeng Wang
Shixia Liu
Wei Zhang
HAI
93
20
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15 Jul 2023
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
Bum Chul Kwon
Nandana Mihindukulasooriya
VLM
114
6
0
26 May 2023
MLHOps: Machine Learning for Healthcare Operations
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MA
AI4TS
VLM
64
2
0
04 May 2023
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
Yongsu Ahn
Y. Lin
Panpan Xu
Zeng Dai
AAML
HAI
56
9
0
16 Mar 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
Angelos Chatzimparmpas
R. Martins
I. Jusufi
K. Kucher
Fabrice Rossi
A. Kerren
FAtt
96
162
0
22 Dec 2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
Rusheng Pan
Zhiyong Wang
Yating Wei
Han Gao
Gongchang Ou
Caleb Chen Cao
Jinglin Xu
Tong Xu
Wei Chen
GNN
50
4
0
21 Dec 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
Agapi Rissaki
Bruno Scarone
David Liu
Aditeya Pandey
Brennan Klein
Tina Eliassi-Rad
M. Borkin
FaML
80
6
0
12 Oct 2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups
Bum Chul Kwon
U. Kartoun
S. Khurshid
Mikhail Yurochkin
Subha Maity
Deanna G. Brockman
A. Khera
P. Ellinor
S. Lubitz
Kenney Ng
76
11
0
14 Sep 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias
Bhavya Ghai
Klaus Mueller
92
41
0
10 Aug 2022
FairFuse: Interactive Visual Support for Fair Consensus Ranking
Hilson Shrestha
Kathleen Cachel
Mallak Alkhathlan
Elke A. Rundensteiner
Lane Harrison
56
2
0
15 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
E. Small
Wei Shao
Zeliang Zhang
Peihan Liu
Jeffrey Chan
Kacper Sokol
Flora D. Salim
144
2
0
11 Jul 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness
Yuri Nakao
Lorenzo Strappelli
Simone Stumpf
A. Naseer
D. Regoli
Giulia Del Gamba
65
30
0
01 Jun 2022
A Design Space for Explainable Ranking and Ranking Models
I. A. Hazwani
J. Schmid
M. Sachdeva
J. Bernard
XAI
48
3
0
27 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Wesley Hanwen Deng
Manish Nagireddy
M. S. Lee
Jatinder Singh
Zhiwei Steven Wu
Kenneth Holstein
Haiyi Zhu
99
97
0
13 May 2022
De-biasing "bias" measurement
K. Lum
Yunfeng Zhang
Amanda Bower
76
28
0
11 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness
Yuri Nakao
Simone Stumpf
Subeida Ahmed
A. Naseer
Lorenzo Strappelli
73
32
0
22 Apr 2022
Trinary Tools for Continuously Valued Binary Classifiers
Michael Gleicher
Xinyi Yu
Yuheng Chen
45
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0
18 Apr 2022
Symphony: Composing Interactive Interfaces for Machine Learning
Alex Bäuerle
Ángel Alexander Cabrera
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Megan Maher Welsh
David Koski
Xavier Suau
Titus Barik
Dominik Moritz
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18 Feb 2022
Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics
Richmond Y. Wong
Michael A. Madaio
Nick Merrill
123
86
0
17 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality
Yan Lyu
Hangxin Lu
Min Kyung Lee
G. Schmitt
Brian Y. Lim
67
10
0
15 Feb 2022
Visual Identification of Problematic Bias in Large Label Spaces
Alex Bauerle
Aybuke Turker
Ken Burke
Osman Aka
Timo Ropinski
Christina Greer
Mani Varadarajan
63
1
0
17 Jan 2022
A survey on datasets for fairness-aware machine learning
Tai Le Quy
Arjun Roy
Vasileios Iosifidis
Wenbin Zhang
Eirini Ntoutsi
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130
254
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01 Oct 2021
A Sociotechnical View of Algorithmic Fairness
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
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76
101
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Discovering and Validating AI Errors With Crowdsourced Failure Reports
Ángel Alexander Cabrera
Abraham J. Druck
Jason I. Hong
Adam Perer
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M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
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Jianben He
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Muqiao Yang
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The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
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Productivity, Portability, Performance: Data-Centric Python
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Yanzhang Wang
Yan Wan
Jiao Wang
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End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning
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78
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WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings
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Md. Naimul Hoque
Klaus Mueller
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