Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

5 September 2019

Papers citing "Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI"

38 / 38 papers shown

Title
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Joana Simões João Correia 147 0 0 06 Mar 2025
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research Veda C. Storey Wei Thoo Yue J. Leon Zhao Roman Lukyanenko 43 0 0 25 Feb 2025
Evaluating Human-AI Collaboration: A Review and Methodological Framework George Fragiadakis Christos Diou George Kousiouris Mara Nikolaidou 57 11 0 09 Jul 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 48 1 0 23 May 2024
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing Bryan Wang Yuliang Li Zhaoyang Lv Haijun Xia Yan Xu Raj Sodhi 23 39 0 15 Feb 2024
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks Wei Wang Huilong Ning Gaowei Zhang Libo Liu Yi Wang 26 11 0 08 Feb 2024
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 40 7 0 20 Jan 2024
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability Md. Tanzib Hosain Md. Mehedi Hasan Anik Sadman Rafi̇ Rana Tabassum Khaleque Insi̇a Md. Mehrab Siddiky 18 6 0 13 Oct 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI H. D. Zając Natalia-Rozalia Avlona T. O. Andersen F. Kensing Irina Shklovski 21 17 0 12 Aug 2023
Assessing the Use of AutoML for Data-Driven Software Engineering Fabio Calefato L. Quaranta F. Lanubile Marcos Kalinowski 32 7 0 20 Jul 2023
ML-Based Teaching Systems: A Conceptual Framework Philipp Spitzer Niklas Kühl Daniel Heinz G. Satzger 9 6 0 12 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations Bingsheng Yao Prithviraj Sen Lucian Popa James A. Hendler Dakuo Wang XAI ELM FAtt 23 10 0 04 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 16 7 0 05 Apr 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 16 13 0 21 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 26 21 0 02 Feb 2023
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 25 117 0 21 Nov 2022
How Do Data Science Workers Communicate Intermediate Results? Rock Yuren Pang Ruotong Wang Joely Nelson Leilani Battle 38 5 0 07 Oct 2022
Operationalizing Machine Learning: An Interview Study Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 65 51 0 16 Sep 2022
An Empirical Study on the Usage of Automated Machine Learning Tools Forough Majidi Moses Openja Foutse Khomh Heng Li 42 14 0 28 Aug 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics Michaela Benk Raphael P. Weibel Stefan Feuerriegel Andrea Ferrario 23 3 0 09 Aug 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 18 129 0 25 Apr 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work Chengbo Zheng Dakuo Wang A. Wang Xiaojuan Ma 17 52 0 21 Mar 2022
Why, How and Where of Delays in Software Security Patch Management: An Empirical Investigation in the Healthcare Sector Nesara Dissanayake Mansooreh Zahedi Asangi Jayatilaka M. Babar 14 14 0 18 Feb 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
Eliciting Best Practices for Collaboration with Computational Notebooks L. Quaranta Fabio Calefato F. Lanubile 14 21 0 15 Feb 2022
Naive Automated Machine Learning F. Mohr Marcel Wever 11 11 0 29 Nov 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 29 45 0 06 Oct 2021
Distributed In-memory Data Management for Workflow Executions Renan Souza V. Silva Alexandre A. B. Lima Daniel de Oliveira P. Valduriez M. Mattoso 11 4 0 11 May 2021
Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface Michael Desmond Zahra Ashktorab Michelle Brachman Kristina Brimijoin E. Duesterwald ... Catherine Finegan-Dollak Michael J. Muller N. Joshi Qian Pan Aabhas Sharma 21 50 0 09 Apr 2021
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study David Piorkowski Soya Park A. Wang Dakuo Wang Michael J. Muller Felix Portnoy 38 131 0 13 Jan 2021
CASS: Towards Building a Social-Support Chatbot for Online Health Community Liuping Wang Dakuo Wang Feng Tian Zhenhui Peng Xiangmin Fan Zhan Zhang Shuai Ma Mo Yu Xiaojuan Ma Hongan Wang AI4MH 12 45 0 04 Jan 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 29 143 0 04 Jan 2021
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 168 108 0 09 Feb 2020
Data Vision: Learning to See Through Algorithmic Abstraction Samir Passi S. Jackson 135 111 0 09 Feb 2020
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems Jaimie Drozdal Justin D. Weisz Dakuo Wang Gaurav Dass Bingsheng Yao Changruo Zhao Michael J. Muller Lin Ju Hui Su 36 124 0 17 Jan 2020
Engineering AI Systems: A Research Agenda J. Bosch I. Crnkovic Helena Holmström Olsson AI4TS 16 98 0 16 Jan 2020
Artificial Intelligence for Social Good: A Survey Zheyuan Ryan Shi Claire Wang Fei Fang AI4TS 26 81 0 07 Jan 2020