Talk: Closing the AI Innovation Gap

LIVE STREAM LINK: https://uwmadison.zoom.us/j/98739401643?pwd=MDZ5eTAzek1pRXZybVlibU5HRFBBUT09 

Abstract: Advances in artificial intelligence (AI) enable unprecedented technical capabilities: computers can diagnose diseases, translate between languages, and drive cars. Yet integrating AI advances into successful products and services remains an open challenge, as today, the majority of AI initiatives fail. My work focuses on closing this innovation gap by helping innovation teams envision low-risk/high-value AI concepts. I will present new resources and processes that help reveal intersections of user needs and AI capabilities. I will share two healthcare case studies (intensive care and radiology imaging) that demonstrate how teams can do a better job of ideating many concepts and reduce their risks of failure. I will discuss opportunities and challenges for future research to enable human-centered, responsible AI innovation.

Bio: Nur Yildirim is an interaction designer and a Ph.D. candidate at the Human-Computer Interaction Institute at Carnegie Mellon University. Her research focuses on bringing design thinking and participatory approaches to AI product development, specifically to engage domain stakeholders in early-phase innovation. Nur worked at Google Research and Microsoft Research on human-centered AI innovation. During her Ph.D., she has published ten peer-reviewed publications on the topic of human-AI interaction at premiere HCI research venues. She is the recipient of a Digital Health fellowship from the Center for Machine Learning and Health. The National Institutes of Health, the National Science Foundation, and Accenture have supported her work. Before starting her PhD, Nur worked as a design practitioner, shipping award-winning products ranging from medical to consumer electronics to assistive robots and toys.