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Uncalibrated Models Can Improve Human-AI Collaboration
12 February 2022
Kailas Vodrahalli
Tobias Gerstenberg
James Zou
HAI
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Papers citing
"Uncalibrated Models Can Improve Human-AI Collaboration"
21 / 21 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
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary
Zhuoyan Li
Ming Yin
73
3
0
02 Nov 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
86
1
0
02 Aug 2024
Large Language Models Must Be Taught to Know What They Don't Know
Sanyam Kapoor
Nate Gruver
Manley Roberts
Katherine Collins
Arka Pal
Umang Bhatt
Adrian Weller
Samuel Dooley
Micah Goldblum
Andrew Gordon Wilson
108
25
0
12 Jun 2024
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
Eleni Straitouri
Suhas Thejaswi
Manuel Gomez Rodriguez
112
1
0
10 Jun 2024
Towards Human-AI Complementarity with Predictions Sets
Giovanni De Toni
Nastaran Okati
Suhas Thejaswi
Eleni Straitouri
Manuel Gomez Rodriguez
143
7
0
27 May 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan
Raquel Fernández
Barbara Plank
Wilker Aziz
114
11
0
25 Feb 2024
Overconfident and Unconfident AI Hinder Human-AI Collaboration
Jingshu Li
Yitian Yang
Renwen Zhang
Yi-Chieh Lee
80
1
0
12 Feb 2024
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making
Shiye Cao
Anqi Liu
Chien-Ming Huang
64
12
0
11 Jan 2024
Optimising Human-AI Collaboration by Learning Convincing Explanations
Alex J. Chan
Alihan Huyuk
M. Schaar
87
3
0
13 Nov 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
Hussein Mozannar
Jimin J Lee
Dennis L. Wei
P. Sattigeri
Subhro Das
David Sontag
131
13
0
02 Nov 2023
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors
Nikita Mehandru
Sweta Agrawal
Yimin Xiao
Elaine C. Khoong
Ge Gao
Marine Carpuat
Niloufar Salehi
66
12
0
25 Oct 2023
Designing Decision Support Systems Using Counterfactual Prediction Sets
Eleni Straitouri
Manuel Gomez Rodriguez
OffRL
212
12
0
06 Jun 2023
Human-Aligned Calibration for AI-Assisted Decision Making
N. C. Benz
Manuel Gomez Rodriguez
77
19
0
31 May 2023
Taking Advice from ChatGPT
Peter Zhang
70
5
0
11 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
74
2
0
20 Sep 2022
Eliciting and Learning with Soft Labels from Every Annotator
Katherine M. Collins
Umang Bhatt
Adrian Weller
88
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
108
27
0
30 Jun 2022
Improving Expert Predictions with Conformal Prediction
Eleni Straitouri
Lequn Wang
Nastaran Okati
Manuel Gomez Rodriguez
110
33
0
28 Jan 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.3K
17,211
0
16 Feb 2016
1