HCII Seminar Series - Hari Subramonyam
Assistant Professor (Research) at the Graduate School of Education and Computer Science (by courtesy), Stanford University
Newell-Simon Hall 1305
"Rethinking the AI-UX Boundary for Designing Human-AI Experiences"
In conventional software development, the boundary between user experience (UX) design and engineering is well defined: designers create specifications based on end-user needs, then engineers build to those specifications. However, AI application design poses a challenge to this "separation of concerns." Emerging Human-AI guidelines show that human-centered design extends beyond the user interface and into the design of AI sub-components and training data, thus 'puncturing' this separation. In this talk, I will share insights about collaboration challenges at the AI-UX boundary and discuss approaches to operationalize the vision for human-centered AI. Based on studies with industry practitioners, I will describe how "leaky" abstractions afford collaboration across expertise boundaries and discuss the critical role of end-user data in generating both AI and UX design specifications. Finally, I will present tools for designing AI-powered interfaces for diverse users and use contexts by directly incorporating end-user data and machine learning models within UX workflows.
Hari Subramonyam is an Assistant Professor (Research) at the Graduate School of Education and Computer Science (by courtesy). He is also the Ram and Vijay Shriram Faculty Fellow at Stanford's Institute for Human-Centered AI. Hari's research looks at enabling multidisciplinary teams to design and develop ethical, responsible, and human-centered experiences with AI. A specific application area of his research is AI in education, where he draws from cognitive psychology and learning sciences to augment human learning experiences. Hari received his Ph.D. in Information from the University of Michigan School of Information.