UCLIC Research Seminar Series

UCLIC Research Seminar 21 April: James Landay, AI For Good” Isn’t Good Enough: A Call for Human-Centered AI
James Landay, Stanford University


UCLIC Research Seminar 21 April: James Landay, AI For Good” Isn’t Good Enough: A Call for Human-Centered AI


A recording of this talk is available on the UCLIC YouTube channel: https://youtu.be/DnwXhIA2TkY

AI for Good initiatives recognize the potential impacts of AI systems on humans and societies. However, simply recognizing these impacts is not enough. To be truly Human-Centered, AI development must be user-centered, community-centered, and societally-centered. User-centered design integrates techniques that consider the needs and abilities of end users, while also improving designs through iterative user testing. Community-centered design engages communities in the early stages of design through participatory techniques. Societally-centered design forecasts and mediates potential impacts on a societal level throughout a project. Successful Human-Centered AI requires the early engagement of multidisciplinary teams beyond technologists, including experts in design, the social sciences and humanities, and domains of interest such as medicine or law, as well as community members. In this talk I will elaborate on my argument for an authentic Human-Centered AI.

The speaker is visiting UCL and the seminar will take place in UCL CS Seminar room, 1st Floor, 90 High Holborn. This is a hybrid event and online access will be available via Zoom https://ucl.zoom.us/j/92614118102.


James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering at Stanford University. He co-founded and is Vice Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Landay previously was a tenured faculty member at Cornell Tech, the University of Washington, and UC Berkeley. He was also Director of Intel Labs Seattle and co-founder of NetRaker. Landay received his BS in EECS from UC Berkeley, and MS and PhD in Computer Science from Carnegie Mellon University. He is a member of the ACM SIGCHI Academy and an ACM Fellow. He served on the NSF CISE Advisory Committee for six years.