Uncalibrated Models Can Improve Human-AI Collaboration

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Uncalibrated Models Can Improve Human-AI Collaboration

12 February 2022

Kailas Vodrahalli

Tobias Gerstenberg

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Papers citing "Uncalibrated Models Can Improve Human-AI Collaboration"

8 / 8 papers shown

Title
From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered Siddartha Devic Tejas Srinivasan Jesse Thomason Willie Neiswanger Vatsal Sharan 26 0 0 09 Jun 2025
The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making Takehiro Takayanagi Ryuji Hashimoto Chung-Chi Chen Kiyoshi Izumi 88 0 0 21 Feb 2025
Optimising Human-AI Collaboration by Learning Convincing Explanations Alex J. Chan Alihan Huyuk M. Schaar 87 3 0 13 Nov 2023
Human-Aligned Calibration for AI-Assisted Decision Making N. C. Benz Manuel Gomez Rodriguez 77 19 0 31 May 2023
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation Thomas Buddenkotte L. E. Sanchez Mireia Crispin-Ortuzar Ramona Woitek C. McCague James D. Brenton Ozan Oktem Evis Sala L. Rundo UQCV 61 2 0 20 Sep 2022
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 86 47 0 02 Jul 2022
Forecasting Future World Events with Neural Networks Andy Zou Tristan Xiao Ryan Jia Joe Kwon Mantas Mazeika Richard Li Dawn Song Jacob Steinhardt Owain Evans Dan Hendrycks 106 27 0 30 Jun 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,197 0 16 Feb 2016