Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit

Picture of Nur Yildirim
Nur Yildirim
Picture of Susanna Zlotnikov
Susanna Zlotnikov
Picture of Deniz Sayar
Deniz Sayar
Picture of Jeremy Kahn
Jeremy Kahn
Picture of Leigh Bukowski
Leigh Bukowski
Picture of Sher Shah Amin
Sher Shah Amin
Picture of Kathryn Riman
Kathryn Riman
Picture of Billie Davis
Billie Davis
Picture of John Minturn
John Minturn
Picture of Andrew King
Andrew King
Picture of Dan Ricketts
Dan Ricketts
Picture of Lu Tang
Lu Tang
Picture of Sarah Preum
Sarah Preum
Picture of James McCann
James McCann
Picture of John Zimmerman
John Zimmerman
Published at CHI | Honolulu, HI 2024
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Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet innovation teams struggle when envisioning AI concepts. Data science teams think of innovations users do not want, while domain experts think of innovations that cannot be built. A lack of effective ideation seems to be a breakdown point. How might multidisciplinary teams identify buildable and desirable use cases? This paper presents a first hand account of ideating AI concepts to improve critical care medicine. As a team of data scientists, clinicians, and HCI researchers, we conducted a series of design workshops to explore more effective approaches to AI concept ideation and problem formulation. We detail our process, the challenges we encountered, and practices and artifacts that proved effective. We discuss the research implications for improved collaboration and stakeholder engagement, and discuss the role HCI might play in reducing the high failure rate experienced in AI innovation.