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Will We Trust What We Don't Understand? Impact of Model Interpretability
  and Outcome Feedback on Trust in AI

Will We Trust What We Don't Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI

16 November 2021
Daehwan Ahn
Abdullah Almaatouq
Monisha Gulabani
K. Hosanagar
ArXiv (abs)PDFHTML

Papers citing "Will We Trust What We Don't Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI"

6 / 6 papers shown
Title
Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights
Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights
Jeba Rezwana
Corey Ford
15
0
0
23 May 2025
Evaluation and Incident Prevention in an Enterprise AI Assistant
Evaluation and Incident Prevention in an Enterprise AI Assistant
Akash Maharaj
David Arbour
Daniel Lee
Uttaran Bhattacharya
Anup B. Rao
Austin Zane
Avi Feller
Kun Qian
Yunyao Li
69
0
0
11 Apr 2025
Improving the Accuracy of Beauty Product Recommendations by Assessing
  Face Illumination Quality
Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality
Parnian Afshar
Jenny Yeon
Andriy Levitskyy
Rahul Suresh
Amin Banitalebi-Dehkordi
CVBM
45
1
0
07 Sep 2023
Taking Advice from ChatGPT
Taking Advice from ChatGPT
Peter Zhang
70
5
0
11 May 2023
Expanding Knowledge Graphs with Humans in the Loop
Expanding Knowledge Graphs with Humans in the Loop
Emaad A. Manzoor
Jordan Tong
S. Vijayaraghavan
Rui Li
102
3
0
10 Dec 2022
"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
FAttFaML
1.3K
17,197
0
16 Feb 2016
1