Teaching Humans When To Defer to a Classifier via Exemplars

22 November 2021

Papers citing "Teaching Humans When To Defer to a Classifier via Exemplars"

25 / 25 papers shown

Title
On the clustering behavior of sliding windows Boris Alexeev Wenyan Luo Dustin G. Mixon Yan X Zhang AI4TS 69 0 0 18 Mar 2025
A No Free Lunch Theorem for Human-AI Collaboration Kenny Peng Nikhil Garg Jon Kleinberg FedML 84 1 0 21 Nov 2024
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary Zhuoyan Li Ming Yin 27 3 0 02 Nov 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 48 2 0 05 Oct 2024
Learning To Help: Training Models to Assist Legacy Devices Yu Wu Anand Sarwate 32 1 0 24 Sep 2024
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems Gaole He Abri Bharos U. Gadiraju 36 4 0 22 Sep 2024
Realizable $H$ -Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao M. Mohri Yutao Zhong 38 8 0 18 Jul 2024
Decision Theoretic Foundations for Experiments Evaluating Human Decisions Jessica Hullman Alex Kale Jason D. Hartline 26 5 0 25 Jan 2024
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 24 0 0 22 Nov 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer Yuzhou Cao Hussein Mozannar Lei Feng Hongxin Wei Bo An 31 16 0 02 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 41 11 0 02 Nov 2023
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 33 2 0 28 Oct 2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge Anna Kawakami Luke M. Guerdan Yanghuidi Cheng Matthew L. Lee Scott A. Carter Nikos Arechiga Kate Glazko Haiyi Zhu Kenneth Holstein 30 11 0 30 Aug 2023
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming Hussein Mozannar Gagan Bansal Adam Fourney Eric Horvitz 33 26 0 08 Jun 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 56 10 0 13 Apr 2023
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools Frederic Gmeiner Humphrey Yang L. Yao Kenneth Holstein Nikolas Martelaro AI4CE 60 64 0 01 Mar 2023
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions Helena Vasconcelos Gagan Bansal Adam Fourney Q. V. Liao Jennifer Wortman Vaughan 30 5 0 14 Feb 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making Luke M. Guerdan Amanda Coston Zhiwei Steven Wu Kenneth Holstein CML 27 26 0 13 Feb 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 27 40 0 15 Jan 2023
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making Shuai Ma Ying Lei Xinru Wang Chengbo Zheng Chuhan Shi Ming Yin Xiaojuan Ma 14 98 0 14 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 35 34 0 06 Jan 2023
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences Anna Kawakami Luke M. Guerdan Yang Cheng Anita Sun Alison Hu ... Nikos Arechiga Matthew H. Lee Scott A. Carter Haiyi Zhu Kenneth Holstein 24 10 0 11 Dec 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 38 31 0 19 Jul 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support Anna Kawakami Venkatesh Sivaraman H. Cheng Logan Stapleton Yanghuidi Cheng Diana Qing Adam Perer Zhiwei Steven Wu Haiyi Zhu Kenneth Holstein 36 106 0 05 Apr 2022
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 40 25 0 17 Feb 2021