A new synthesis is emerging that integrates AI technologies with HCI approaches 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. These passionate advocates of HCAI are devoted to furthering human values, rights, justice, and dignity, by building reliable, safe, and trustworthy systems.

The talk offers three ideas: – HCAI framework, which shows how it is possible to have both high levels of human control AND high levels of automation – Design metaphors emphasizing powerful supertools, active appliances, tele-operated devices, and information abundant displays – Governance structures to guide software engineering teams, safety culture lessons for managers, independent oversight to build trust, and government regulation to accelerate innovation

The talk will include examples, references to further work, and discussion time for questions.

Further information at: https://hcil.umd.edu/human-centered-ai Join the Human-Centered AI Google Group at: https://groups.google.com/g/human-centered-ai

Peter Norvig will be a respondent.

Bio:

Ben Shneiderman (http://www.cs.umd.edu/~ben) is an Emeritus Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://hcil.umd.edu), 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.

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.

Ben 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 forthcoming book on Human-Centered AI, will be published by Oxford University Press in January 2022.

RSVP: https://baychi.org/program/