James Landay, Stanford Professor of Computer Science, Denning Faculty Director of the Stanford Institute for Human-Centered Artificial Intelligence is coming to speak at ³Ô¹ÏºÚÁÏ on 13 May.
This event is exclusively for Stanford Alumni and ³Ô¹ÏºÚÁÏ Staff and Students. We are fortunate to host this event at ³Ô¹ÏºÚÁÏ College in collaboration with the Stanford Club of Great Britain, and with the support of Mary Ryan (³Ô¹ÏºÚÁÏ Vice-Provost for Research and Enterprise) and Mark Kennedy (Director, Data Science ³Ô¹ÏºÚÁÏ).
From Replacement to Augmentation: A Human-Centered Approach to Multimodal AI Design
As the landscape of artificial intelligence evolves, the need for AI systems that embrace the full range of human experience has never been more important. Drawing on research from the Stanford Institute for Human-Centered AI (HAI), I will explore strategies for embedding human-centered design principles into AI technologies. By emphasizing the power of interdisciplinary collaboration, I will illustrate how AI can enhance human capability and shift the narrative around AI from one of replacement to one of augmentation. I also will share a vision for how multimodal user interfaces can create richer, more holistic interactions with AI and highlight how academia and industry can co-create AI solutions that serve as partners in enhancing human agency while fostering positive social impact within diverse communities.
Bio – James Landay
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 Denning 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. While on sabbatical at Microsoft Research Asia in Beijing, he taught for one semester at Tsinghua University. 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, an ACM Fellow, and was awarded the ACM SIGCHI Lifetime Research Award.