100 citations · 201 across the 7 of their papers we have counts for
6 papers · 1 filter
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
Jessica He, Stephanie Houde, Justin D. Weisz
AI systems powered by large language models can act as capable assistants for writing and editing. In these tasks, the AI system acts as a co-creative partner, making novel contrib…
Controlling AI Agent Participation in Group Conversations: A Human-Centered Approach
Stephanie Houde, Kristina Brimijoin, Michael Muller +6
Conversational AI agents are commonly applied within single-user, turn-taking scenarios. The interaction mechanics of these scenarios are trivial: when the user enters a message, t…
Better Together? An Evaluation of AI-Supported Code Translation
Justin D. Weisz, Michael Muller, Steven I. Ross +5
Generative machine learning models have recently been applied to source code, for use cases including translating code between programming languages, creating documentation from co…
Investigating Explainability of Generative AI for Code through Scenario-based Design
Jiao Sun, Q. Vera Liao, Michael Muller +4
What does it mean for a generative AI model to be explainable? The emergent discipline of explainable AI (XAI) has made great strides in helping people understand discriminative mo…
Perfection Not Required? Human-AI Partnerships in Code Translation
Justin D. Weisz, Michael Muller, Stephanie Houde +5
Generative models have become adept at producing artifacts such as images, videos, and prose at human-like levels of proficiency. New generative techniques, such as unsupervised ne…
A Methodology for Creating AI FactSheets
John Richards, David Piorkowski, Michael Hind +2
As AI models and services are used in a growing number of highstakes areas, a consensus is forming around the need for a clearer record of how these models and services are develop…