About this Event
Abstract
A new synthesis is emerging that integrates AI technologies with Human-Computer Interaction to produce Human-Centered AI (HCAI). Advocates of this new synthesis seek to amplify, augment, and enhance human abilities, so as to empower people, build their self-efficacy, support creativity, recognize responsibility, and promote social connections.
Researchers, developers, business leaders, policy makers and others are expanding the technology-centered scope of Artificial Intelligence (AI) to include Human-Centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view, which embraces a humancentered perspective, guides evaluation by usability testing, expert reviews, and user feedback strategies. These include user observation, incident reporting, audit trails, and surveys to assess trustworthiness.
The talk will include examples, references to further work, and discussion time for questions. These ideas are drawn from Ben Shneiderman’s award-winning new book Human-Centered AI (Oxford University Press, 2022).
Further information can be found at: https://hcil.umd.edu/human-centered-ai
Bio
Ben Shneiderman
Ben Shneiderman is an Emeritus Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory, and a Member of the UM Institute for Advanced Computer Studies (UMIACS) at the University of Maryland. He is a Fellow of the AAAS, ACM, IEEE, NAI, and the Visualization Academy and a Member of the U.S. National Academy of Engineering. He has received six honorary doctorates in recognition of his pioneering contributions to human-computer interaction and information visualization. His widely-used contributions include the clickable highlighted web-links, high-precision touchscreen keyboards for mobile devices, and tagging for photos. Shneiderman’s information visualization innovations include dynamic query sliders for Spotfire, development of treemaps for viewing hierarchical data, novel network visualizations for NodeXL, and event sequence analysis for electronic health records.
Shneiderman is the lead author of Designing the User Interface: Strategies for Effective Human-Computer Interaction (6th ed., 2016). He co-authored Readings in Information Visualization: Using Vision to Think (1999) and Analyzing Social Media Networks with NodeXL (2nd edition, 2019). His book Leonardo’s Laptop (MIT Press) won the IEEE book award for Distinguished Literary Contribution. The New ABCs of Research: Achieving Breakthrough Collaborations (Oxford, 2016) describes how research can produce higher impacts. His book, Human-Centered AI, which was published by Oxford University Press in February 2022, was the winner of the Association of American Publishers award for Computer and Information Systems.
Event sponsored by the Faculty of Communication, Arts & Technology and the School of Interactive Arts & Technology.
If you have any questions about this event, please contact Halil Erhan at [email protected].
Event Venue & Nearby Stays
SFU Surrey Campus (SYRC 2600), 13450 102 Avenue, Surrey, Canada
CAD 0.00