3 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
"So There's a Catch-22 Here": How Early Adopters Who Build Multi-Agent LLM Systems Conceptualize Transparency
Suchismita Naik, Samir Passi, Mihaela Vorvoreanu +2
Multi-agent large language model (LLM) systems are rapidly emerging, yet transparency, a cornerstone of responsible AI, remains under-defined in these distributed architectures, wh…
Not Another EHR: Reimagining Physician Information Needs with Generative AI Technology
Ruican Zhong, Jiachen Li, Gary Hsieh +15
Electronic health records (EHRs) have improved data accessibility but have also introduced cognitive burden for physicians, given the sheer volume and complexity of the data involv…
Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
Suchismita Naik, Austin L. Toombs, Amanda Snellinger +2
With recent advancements in multi-agent generative AI (Gen AI), technology organizations like Microsoft are adopting these complex tools, redefining AI agents as active collaborato…
AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals
Angela Mastrianni, Hope Twede, Aleksandra Sarcevic +6
Generative AI has the potential to transform knowledge work, but further research is needed to understand how knowledge workers envision using and interacting with generative AI. W…