When does human-centered AI (fail to) scale?
Dr. Angel Hwang
Wednesday, October 2, 2024, 2:00-3:00pm PDT
MRF 102
hailey.winetrobe@usc.edu Cost:
State-of-the-art AI systems are built and deployed at the societal scale, increasing the need to consider sociotechnical factors for implementing systems of such magnitude. In contrast, individual user experience has long been the core of designing and developing user-friendly technologies. Through a series of experiments and case studies, I examine challenges and breakdowns as one extends individual-centered approaches to design societal-scale AI systems.
Angel Hsing-Chi Hwang (she/her) is an Assistant Professor at USC Annenberg School for Communication and Journalism. Her research explores the societal impact of AI-powered technologies on work practices. In her past and present work, she focuses on how practitioners design, build, and/or apply AI to facilitate group interaction, produce creative content, and balance everyday wellness.