Title: Human-Centered AI: Reliable, Safe & Trustworthy

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.

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 to embrace a human-centered perspective, can shape the future of technology so as to better serve human needs. Educators, designers, software engineers, product managers, evaluators, and government agency staffers can build on AI-driven technologies to design products and services that make life better for the users. These human-centered products and services will enable people to better care for each other, build sustainable communities, and restore the environment. The passionate advocates of HCAI are devoted to furthering human values, rights, justice, and dignity, by building reliable, safe, and trustworthy systems.

The talk will include examples, references to further work, and discussion time for questions. These ideas are drawn from Ben Shneiderman’s forthcoming book (Oxford University Press, January 2022). Further information at:

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.

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.


Prof. Ben Shneiderman currently is a University Professor in the Department of Computer Science. He was the Founding Director (1983-2000) of Human-Computer Interaction Laboratory, member of the Institute for System Research, and he is also a Member of the Institute for Advanced Computer Studies, University of Maryland, College Park.

Prof. Shneiderman is the renowned author of the book - Designing the User Interface: Strategies for Effective Human-Computer Interaction. It continues to present the "Eight Golden Rules of Interface Design" and is frequently referenced in Human-Computer Interaction courses.

He has published numerous books over the years, including The New ABCs of Research: Achieving Breakthrough Collaborations (2016), which provides evidence-based guidelines for improving research impact. Shneiderman’s work has led him to be elected as a member of the U.S. National Academy of Engineering and to receive six honorary doctorates.

His current project is Human-Centered AI, which presents a Human-Centered AI (HCAI) framework that shows how to design advanced systems with high levels of human control and high levels of automation. His forthcoming book on the topic (Oxford University Press, 2022) bridges the gap between ethics and practice. It offers specific recommendations for designing successful technologies that augment, amplify, empower, and enhance humans rather than replace them.

His research-based interests lie in the field of Human-Computer Interaction, User Interface Design, Information Visualization and Social Media.