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Unjustified Sample Sizes and Generalizations in Explainable AI Research:
  Principles for More Inclusive User Studies

Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies

8 May 2023
Uwe Peters
Mary Carman
    ELM
ArXivPDFHTML

Papers citing "Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies"

3 / 3 papers shown
Title
Connecting Algorithmic Research and Usage Contexts: A Perspective of
  Contextualized Evaluation for Explainable AI
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
Q. V. Liao
Yunfeng Zhang
Ronny Luss
Finale Doshi-Velez
Amit Dhurandhar
83
82
0
22 Jun 2022
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
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
49
88
0
28 Jul 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
861
16,891
0
16 Feb 2016
1