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Stanford Seminar - Catalyzing AI Advances with Human-Centered Interactive systems
Description
January 19, 2024
Xiang 'Anthony' Chen of UCLA
Despite the promises of AI, what we often ignore is the gap between a high-performing AI model and how such AI models can serve humanity. In this talk, I discuss how my research closes this gap by developing interactive systems that catalyze advances in AI to achieve three levels of human-centered objectives: aligning with human values, assimilating human intents, and augmenting human abilities.
Uploaded 31-01-24
About the speaker:
Xiang Anthony' Chen is an Assistant Professor in UCLA's Department of Electrical and Computer Engineering. He received a Ph.D. in the School of Computer Science at Carnegie Mellon University. Anthony's area of expertise is Human-Computer Interaction (HCI). His research employs human-centered design methods to build systems that catalyze advances in AI to augment human activities, supported by NSF CAREER Award, ONR YIP Award, Google Research Scholar Award, Intel Rising Star Award, Hellman Fellowship, NSF CRII Award, and Adobe Ph.D. Fellowship. Anthony s work has resulted in 50+ publications with three best paper awards and three honorable mentions in top-tier HCI conferences.
More about the course can be found here: https://hci.stanford.edu/seminar/
View the entire CS547 Stanford Human-Computer Interaction Seminar playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMyupDF2O00r19JsmolyXdD
► Check out the entire catalog of courses and programs available through Stanford Online: https://online.stanford.edu/explore
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