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Uncalibrated Models Can Improve Human-AI Collaboration

12 February 2022

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