“AI For Good” Isn’t Good Enough: A Call for Human-Centered AI with James A. Landay, Stanford

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AI for Good initiatives recognize the potential impacts of AI systems on humans and societies. But 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.
Dr. Landay will elaborate on his argument for an authentic Human-Centered AI.
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 was previously 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. While on sabbatical at Microsoft Research Asia in Beijing, he taught for one semester at Tsinghua University.
He 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.

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