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02/16/2023
Human-Centered Responsible Artificial Intelligence: Current Future Trends
In recent years, the CHI community has seen significant growth in resear...
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02/14/2023
The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development
Large language models (LLMs) have recently been applied in software engi...
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01/13/2023
A Case Study in Engineering a Conversational Programming Assistant's Persona
The Programmer's Assistant is an experimental prototype software develop...
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01/13/2023
Toward General Design Principles for Generative AI Applications
Generative AI technologies are growing in power, utility, and use. As ge...
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02/15/2022
Better Together? An Evaluation of AI-Supported Code Translation
Generative machine learning models have recently been applied to source ...
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02/10/2022
Investigating Explainability of Generative AI for Code through Scenario-based Design
What does it mean for a generative AI model to be explainable? The emerg...
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10/11/2021
Using Document Similarity Methods to create Parallel Datasets for Code Translation
Translating source code from one programming language to another is a cr...
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10/03/2021
Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity
Geographically dispersed teams often face challenges in coordination and...
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07/28/2021
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
Explainability of AI systems is critical for users to take informed acti...
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04/09/2021
Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface
Labeling data is an important step in the supervised machine learning li...
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04/08/2021
Perfection Not Required? Human-AI Partnerships in Code Translation
Generative models have become adept at producing artifacts such as image...
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02/24/2021
Themisto: Towards Automated Documentation Generation in Computational Notebooks
Computational notebooks allow data scientists to express their ideas thr...
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01/13/2021
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study
The development of AI applications is a multidisciplinary effort, involv...
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01/12/2021
Expanding Explainability: Towards Social Transparency in AI systems
As AI-powered systems increasingly mediate consequential decision-making...
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01/07/2021
How Much Automation Does a Data Scientist Want?
Data science and machine learning (DS/ML) are at the heart of the recent...
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12/04/2020
Quality Estimation Interpretability for Code Translation
Recently, the automated translation of source code from one programming ...
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03/02/2020
Business (mis)Use Cases of Generative AI
Generative AI is a class of machine learning technology that learns to g...
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01/18/2020
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
Today, the prominence of data science within organizations has given ris...
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01/17/2020
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems
We explore trust in a relatively new area of data science: Automated Mac...
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12/13/2019
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates
Artificial Intelligence (AI) can now automate the algorithm selection, f...
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12/13/2019
Enabling Value Sensitive AI Systems through Participatory Design Fictions
Two general routes have been followed to develop artificial agents that ...
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09/08/2019
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
In recent years there has been an increasing trend in which data scienti...
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09/05/2019
