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FairSight: Visual Analytics for Fairness in Decision Making
v1v2 (latest)

FairSight: Visual Analytics for Fairness in Decision Making

1 August 2019
Yongsu Ahn
Y. Lin
ArXiv (abs)PDFHTML

Papers citing "FairSight: Visual Analytics for Fairness in Decision Making"

12 / 62 papers shown
Title
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
66
70
0
01 Feb 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Joey Tianyi Zhou
Christopher Ré
AAMLOffRLOOD
202
140
0
13 Jan 2021
A Visual Analytics Framework for Explaining and Diagnosing Transfer
  Learning Processes
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
Yuxin Ma
Arlen Fan
Jingrui He
A. R. Nelakurthi
Ross Maciejewski
84
25
0
15 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning
A Survey of Visual Analytics Techniques for Machine Learning
Jun Yuan
Changjian Chen
Weikai Yang
Mengchen Liu
Jiazhi Xia
Shixia Liu
103
223
0
21 Aug 2020
DECE: Decision Explorer with Counterfactual Explanations for Machine
  Learning Models
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models
Furui Cheng
Yao Ming
Huamin Qu
CMLHAI
54
101
0
19 Aug 2020
The Language Interpretability Tool: Extensible, Interactive
  Visualizations and Analysis for NLP Models
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Ian Tenney
James Wexler
Jasmijn Bastings
Tolga Bolukbasi
Andy Coenen
...
Ellen Jiang
Mahima Pushkarna
Carey Radebaugh
Emily Reif
Ann Yuan
VLM
130
196
0
12 Aug 2020
Visual Analysis of Discrimination in Machine Learning
Visual Analysis of Discrimination in Machine Learning
Qianwen Wang
Zhen Xu
Zhutian Chen
Yong Wang
Shixia Liu
Huamin Qu
FaML
53
39
0
30 Jul 2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable
  AI with Video Activity Recognition
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
Mahsan Nourani
Chiradeep Roy
Tahrima Rahman
Eric D. Ragan
Nicholas Ruozzi
Vibhav Gogate
AAML
69
18
0
05 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of
  Algorithmic Bias
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Po-Ming Law
Sana Malik
F. Du
Moumita Sinha
45
6
0
26 Apr 2020
Boxer: Interactive Comparison of Classifier Results
Boxer: Interactive Comparison of Classifier Results
Michael Gleicher
Aditya Barve
Xinyi Yu
Florian Heimerl
VLMHAI
83
40
0
16 Apr 2020
Designing Tools for Semi-Automated Detection of Machine Learning Biases:
  An Interview Study
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
Po-Ming Law
Sana Malik
F. Du
Moumita Sinha
65
12
0
13 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
319
6,390
0
22 Oct 2019
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