Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making-Reference-Cited by-同舟云学术

Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Intelligent User Interfaces
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Author:

Prabhudesai Snehal¹^ORCID,Yang Leyao²^ORCID,Asthana Sumit¹^ORCID,Huan Xun³^ORCID,Liao Q. Vera⁴^ORCID,Banovic Nikola⁵^ORCID

Affiliation:

1. Computer Science and Engineering, University of Michigan, United States

2. Columbia University, United States

3. Mechanical Engineering, University of Michigan, United States

4. Microsoft Research, Canada

5. Electrical Engineering and Computer Science, University of Michigan, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581641.3584033

Reference115 articles.

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3. Matthew Arnold Rachel K. E. Bellamy Michael Hind Stephanie Houde Sameep Mehta Aleksandra Mojsilovic Ravi Nair Karthikeyan Natesan Ramamurthy Darrell Reimer Alexandra Olteanu David Piorkowski Jason Tsay and Kush R. Varshney. 2018. FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity. https://doi.org/10.48550/ARXIV.1808.07261 10.48550/ARXIV.1808.07261

4. Matthew Arnold Rachel K. E. Bellamy Michael Hind Stephanie Houde Sameep Mehta Aleksandra Mojsilovic Ravi Nair Karthikeyan Natesan Ramamurthy Darrell Reimer Alexandra Olteanu David Piorkowski Jason Tsay and Kush R. Varshney. 2018. FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity. https://doi.org/10.48550/ARXIV.1808.07261

5. Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making

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