The past few years have seen rapid advances in frontier AI models, demonstrating increasing performance and generality. As progress continues toward artificial general intelligence (AGI), Human-Computer Interaction (HCI) scholarship and practice has a critical role to play in ensuring that AI technology is useful to and usable by people to accomplish tasks they value. HCI insights can help us maximize the benefit of AI technologies to individuals, communities, and society while allowing us to understand how to mitigate harms. In this talk, I will describe a research vision for the field of HCI in the AGI era, examining how researchers can facilitate progress toward and adoption of advanced AI via interaction techniques, interface designs, physical form factors, design methods, evaluation methods, benchmarking approaches, and data collection techniques.
| 3:30pm - 4:30pm: | Paul G. Allen School of Computer Science & Engineering Distinguished Lecture Series |
| 4:30pm: | Reception |
Meredith Ringel Morris is Director for Human-AI Interaction Research at Google DeepMind. Prior to joining DeepMind, she was Director of the People + AI Research team in Google Research’s Responsible AI division. She also previously served as Research Area Manager for Interaction, Accessibility, and Mixed Reality at Microsoft Research. In addition to her industry role, Dr. Morris has a faculty appointment at the University of Washington, where she is an Affiliate Professor in The Paul G. Allen School of Computer Science & Engineering and also in The Information School. Dr. Morris has been recognized as a Fellow of the ACM and as a member of the ACM SIGCHI Academy for her contributions to Human-Computer Interaction research. She earned her Sc.B. in computer science from Brown University and her M.S. and Ph.D. in computer science from Stanford University. More details on her research and publications are available at http://merrie.info.