337 citations · 372 across the 4 of their papers we have counts for
4 papers
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
Fernando Delgado, Stephen Yang, Michael Madaio +1
Despite the growing consensus that stakeholders affected by AI systems should participate in their design, enormous variation and implicit disagreements exist among current approac…
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
Mina Lee, Percy Liang, Qian Yang
Large language models (LMs) offer unprecedented language generation capabilities and exciting opportunities for interaction design. However, their highly context-dependent capabili…
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"
Fernando Delgado, Stephen Yang, Michael Madaio +1
There is a growing consensus in HCI and AI research that the design of AI systems needs to engage and empower stakeholders who will be affected by AI. However, the manner in which…
Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure
Bojian Hou, Hao Zhang, Gur Ladizhinsky +4
Abstruse learning algorithms and complex datasets increasingly characterize modern clinical decision support systems (CDSS). As a result, clinicians cannot easily or rapidly scruti…