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HCDE guest lecture: Qian Yang, "Making AI the New Electricity: Designing the UX of AI in Healthcare, Language, and Beyond"
HCDE guest lecture: Qian Yang, "Making AI the New Electricity: Designing the UX of AI in Healthcare, Language, and Beyond"
WhenMonday, Mar 2, 2020, 10 – 11 a.m.
Campus locationStudent Union Building (HUB)
Campus room334
Event typesLectures/Seminars, Special Events
Event sponsorsHuman Centered Design & Engineering
Target AudienceOpen to the public
Description

All are welcome to join the Department of Human Centered Design & Engineering for a special guest lecture.

Making AI the New Electricity: Designing the UX of AI in Healthcare, Language, and Beyond
Qian Yang
HCI Institute, Carnegie Mellon University

TALK ABSTRACT

Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from a UX design perspective: What unique opportunities do the technologies broadly referred to as AI offer to UX design? What challenges, if any, do they place on design practice?

In this talk, I will discuss a number of research projects that systematically investigate these questions. Projects include the designs of clinical decision-support systems that can effectively collaborate with doctors in making life-and-death decisions and an investigation of how Natural Language Generation systems might seamlessly serve authors’ communicative intent. Each project engages stakeholders in their real-world contexts and addresses a critical challenge in transitioning AI from the research lab to the real world.

Based upon this body of work and my studies of industry practice, I developed a framework describing whether, why, and how human-AI interaction is uniquely difficult to design, laying the groundwork for the development of new design tools and methods.

ABOUT THE SPEAKER

Qian Yang
is a design researcher and Ph.D. candidate at the HCI Institute at Carnegie Mellon University. Her research draws together theories and methods from design, the social sciences, and machine learning to advance human-AI interaction. She is best known for designing decision support systems that effectively aided physicians in making critical clinical decisions.

Her work has been supported by the National Institute of Health, the National Science Foundation, and the Department of Health and Human Services. During her Ph.D., she has collaborated with researchers at Google Brain, Microsoft Research, among others. She published fifteen peer-reviewed publications on the topic of human-AI interaction at premiere HCI research venues. Four of these won paper awards. She is the recipient of a Digital Health fellowship from the Center for Machine Learning and Health, a Microsoft Research Dissertation Grant, and an Innovation by Design Award from FastCompany. Her work was featured on various global media outlets. This spring she will be speaking at SXSW on designing AI products and services.

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