Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems

17 January 2020

Bingsheng Yao

Papers citing "Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems"

21 / 21 papers shown

Title
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions Umm-e- Habiba Markus Haug Justus Bogner Stefan Wagner 24 0 0 11 Sep 2024
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design Qian Zhu Dakuo Wang Shuai Ma April Yi Wang Zixin Chen Udayan Khurana Xiaojuan Ma 50 1 0 23 May 2024
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust Roel W. Visser Tobias M. Peters Ingrid Scharlau Barbara Hammer 21 5 0 04 Dec 2023
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 23 0 0 28 Nov 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture Bingsheng Yao Ishan Jindal Lucian Popa Yannis Katsis Sayan Ghosh ... Yuxuan Lu Shashank Srivastava Yunyao Li James A. Hendler Dakuo Wang 34 10 0 22 May 2023
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling Haotian Li Yun Wang Q. V. Liao Huamin Qu 55 23 0 17 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 18 7 0 05 Apr 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 21 13 0 21 Feb 2023
An Empirical Study on the Usage of Automated Machine Learning Tools Forough Majidi Moses Openja Foutse Khomh Heng Li 45 14 0 28 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 25 0 0 24 Aug 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work Chengbo Zheng Dakuo Wang A. Wang Xiaojuan Ma 22 52 0 21 Mar 2022
Better Together? An Evaluation of AI-Supported Code Translation Justin D. Weisz Michael J. Muller Steven I. Ross Fernando Martinez Stephanie Houde Mayank Agarwal Kartik Talamadupula John T. Richards 29 67 0 15 Feb 2022
Naive Automated Machine Learning F. Mohr Marcel Wever 16 11 0 29 Nov 2021
Explaining Hyperparameter Optimization via Partial Dependence Plots Julia Moosbauer J. Herbinger Giuseppe Casalicchio Marius Lindauer Bernd Bischl 47 56 0 08 Nov 2021
Automatic Componentwise Boosting: An Interpretable AutoML System Stefan Coors Daniel Schalk B. Bischl David Rügamer TPM 32 3 0 12 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 79 448 0 13 Jul 2021
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment Dakuo Wang Liuping Wang Zhan Zhang Ding Wang Haiyi Zhu Yvonne Gao Xiangmin Fan Feng Tian 37 143 0 04 Jan 2021
The Impact of Explanations on AI Competency Prediction in VQA Kamran Alipour Arijit Ray Xiaoyu Lin J. Schulze Yi Yao Giedrius Burachas 22 9 0 02 Jul 2020
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 171 108 0 09 Feb 2020
How to Support Users in Understanding Intelligent Systems? Structuring the Discussion Malin Eiband Daniel Buschek H. Hussmann 45 28 0 22 Jan 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 178 308 0 05 Sep 2019