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Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
23 January 2019
Jonathan Dodge
Q. V. Liao
Yunfeng Zhang
Rachel K. E. Bellamy
Casey Dugan
FaML
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Papers citing
"Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment"
9 / 9 papers shown
Title
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Shuai Ma
Qiaoyi Chen
Xinru Wang
Chengbo Zheng
Zhenhui Peng
Ming Yin
Xiaojuan Ma
ELM
26
20
0
25 Mar 2024
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
36
103
0
18 Jan 2023
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
26
2
0
14 Dec 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
36
45
0
23 Sep 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
4
29
0
01 Jun 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making
Jakob Schoeffer
FaML
13
3
0
29 Apr 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Vivian Lai
Samuel Carton
Rajat Bhatnagar
Vera Liao
Yunfeng Zhang
Chenhao Tan
18
129
0
25 Apr 2022
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
Upol Ehsan
Samir Passi
Q. V. Liao
Larry Chan
I-Hsiang Lee
Michael J. Muller
Mark O. Riedl
27
85
0
28 Jul 2021
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
35
701
0
08 Jan 2020
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