Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making

8 February 2019

Papers citing "Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making"

50 / 139 papers shown

Title
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making Chengbo Zheng Yuheng Wu Chuhan Shi Shuai Ma Jiehui Luo Xiaojuan Ma 47 26 0 17 Feb 2023
Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System H. Gu Chun-Hung Yang Mohammad Haeri Junchang Wang Shirley Tang Wenzhong Yan Shujin He Christopher Kazu Williams S. Magaki Xiang Ánthony' Chen 48 27 0 14 Feb 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 36 7 0 10 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 40 83 0 31 Jan 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 32 44 0 23 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 60 107 0 18 Jan 2023
AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals Shubham Atreja Jane Im Paul Resnick Libby Hemphill 11 4 0 17 Jan 2023
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 16 31 0 29 Nov 2022
Learning to Advise Humans in High-Stakes Settings Nicholas Wolczynski M. Saar-Tsechansky Tong Wang 28 0 0 23 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 46 93 0 20 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 47 109 0 02 Oct 2022
Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Survey J. Boley Maoyuan Sun 34 0 0 09 Sep 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 42 3 0 18 Aug 2022
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild Donghyun Son Byounggyu Lew Kwanghee Choi Yongsu Baek Seungwoo Choi Beomjun Shin S. Ha Buru Chang 29 9 0 16 Aug 2022
Toward a Human-Centered AI-assisted Colonoscopy System Hsiang-Ting Chen Yuan Zhang Gustavo Carneiro Seon Ho Shin Rajvinder Singh 29 0 0 04 Aug 2022
The Human in the Infinite Loop: A Case Study on Revealing and Explaining Human-AI Interaction Loop Failures Changkun Ou Daniel Buschek Sven Mayer A. Butz 33 5 0 26 Jul 2022
Learning Unsupervised Hierarchies of Audio Concepts Darius Afchar Romain Hennequin Vincent Guigue 50 2 0 21 Jul 2022
Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool Xiang Ánthony' Chen Chien-Sheng Wu Lidiya Murakhovs'ka Philippe Laban Tong Niu Wenhao Liu Caiming Xiong SyDa 73 9 0 18 Jul 2022
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm Matthew Groh Caleb Harris Roxana Daneshjou Omar Badri A. Koochek 40 41 0 06 Jul 2022
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users Ana Lucic Sheeraz Ahmad Amanda Furtado Brinhosa Q. V. Liao Himani Agrawal Umang Bhatt K. Kenthapadi Alice Xiang Maarten de Rijke N. Drabowski 34 2 0 06 Jul 2022
Identifying the Context Shift between Test Benchmarks and Production Data Matthew Groh OOD 43 8 0 03 Jul 2022
Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection Vidit Gautam GAN MedIm 25 1 0 21 May 2022
Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector Andong Wang Wei Lee FAtt 17 1 0 21 May 2022
User-Interactive Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 44 11 0 21 May 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging Riccardo Fogliato Shreya Chappidi M. Lungren Michael Fitzke Mark Parkinson Diane U Wilson Paul Fisher Eric Horvitz K. Inkpen Besmira Nushi 29 70 0 19 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 44 20 0 18 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 53 11 0 13 May 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 50 130 0 25 Apr 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 31 34 0 22 Apr 2022
ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive Investigation of Historical News Archives Abram Handler Narges Mahyar Brendan O'Connor 24 6 0 10 Apr 2022
Not Another School Resource Map: Meeting Underserved Families' Information Needs Requires Trusting Relationships and Personalized Care Samantha Robertson Tonya Nguyen Niloufar Salehi 11 7 0 29 Mar 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work Chengbo Zheng Dakuo Wang A. Wang Xiaojuan Ma 52 52 0 21 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 50 26 0 25 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 47 87 0 16 Feb 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 32 63 0 28 Dec 2021
Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization Mingming Fan Xianyou Yang Tsz Tung Yu Vera Q. Liao J. Zhao 24 1 0 23 Dec 2021
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 52 187 0 21 Dec 2021
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review Haomin Chen Catalina Gomez Chien-Ming Huang Mathias Unberath 32 122 0 21 Dec 2021
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 45 38 0 17 Dec 2021
Acquisition of Chess Knowledge in AlphaZero Thomas McGrath A. Kapishnikov Nenad Tomašev Adam Pearce Demis Hassabis Been Kim Ulrich Paquet Vladimir Kramnik 36 160 0 17 Nov 2021
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts Tongshuang Wu Michael Terry Carrie J. Cai LLMAG AI4CE LRM 42 450 0 04 Oct 2021
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability J. Benjamin C. Kinkeldey Claudia Muller-Birn Tim Korjakow Eva-Maria Herbst 83 8 0 24 Sep 2021
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation Yunlong Wang Priyadarshini Venkatesh Brian Y. Lim 50 20 0 21 Sep 2021
Deploying clinical machine learning? Consider the following... Charles Lu Kenglun Chang Praveer Singh S. Pomerantz S. Doyle Sujay S Kakarmath Christopher P. Bridge Jayashree Kalpathy-Cramer 54 4 0 14 Sep 2021
Towards Visual Explainable Active Learning for Zero-Shot Classification Shichao Jia Zeyu Li Nuo Chen Jiawan Zhang VLM 38 23 0 15 Aug 2021
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models Zhenge Zhao Panpan Xu C. Scheidegger Liu Ren 21 38 0 08 Aug 2021
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement Umang Bhatt Isabel Chien Muhammad Bilal Zafar Adrian Weller TDI 27 5 0 13 Jul 2021
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations Witold Oleszkiewicz Dominika Basaj Igor Sieradzki Michal Górszczak Barbara Rychalska K. Lewandowska Tomasz Trzciñski Bartosz Zieliñski SSL 45 3 0 21 Jun 2021
Best of both worlds: local and global explanations with human-understandable concepts Jessica Schrouff Sebastien Baur Shaobo Hou Diana Mincu Eric Loreaux Ralph Blanes James Wexler Alan Karthikesalingam Been Kim FAtt 52 28 0 16 Jun 2021
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals Asma Ghandeharioun Been Kim Chun-Liang Li Brendan Jou B. Eoff Rosalind W. Picard AAML 40 54 0 31 May 2021