Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making-Reference-Cited by-同舟云学术

Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making

Published:2021-04-13 Issue: Volume: Page:
ISSN:
Container-title:26th International Conference on Intelligent User Interfaces
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Author:

Wang Xinru¹,Yin Ming¹

Affiliation:

1. Purdue University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397481.3450650

Reference71 articles.

1. COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations

2. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

3. Evaluating saliency map explanations for convolutional neural networks

4. Julia Angwin Jeff Larson Surya Mattu and Lauren Kirchner. 2016. Machine bias. ProPublica. See https://www. propublica. org/article/machine-bias-risk-assessments-in-criminal-sentencing(2016). Julia Angwin Jeff Larson Surya Mattu and Lauren Kirchner. 2016. Machine bias. ProPublica. See https://www. propublica. org/article/machine-bias-risk-assessments-in-criminal-sentencing(2016).

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