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Designing for Appropriate Reliance: The Roles of AI Uncertainty
  Presentation, Initial User Decision, and User Demographics in AI-Assisted
  Decision-Making

Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making

11 January 2024
Shiye Cao
Anqi Liu
Chien-Ming Huang
ArXivPDFHTML

Papers citing "Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making"

4 / 4 papers shown
Title
Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work
Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work
Janet G. Johnson
Macarena Peralta
Mansanjam Kaur
Ruijie Sophia Huang
Sheng Zhao
Ruijia Guan
Shwetha Rajaram
Michael Nebeling
LLMAG
42
0
0
21 Apr 2025
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI
  Interactions
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
Kailas Vodrahalli
Roxana Daneshjou
Tobias Gerstenberg
James Y. Zou
34
68
0
14 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
1