Human-Centered AI:
A Second Copernican Revolution

Human-Centered AI (HCAI) is a promising direction for designing AI systems that support human self-efficacy, encourage creativity, clarify responsibility, and facilitate social participation. These aspirations also encourage security, environmental protection, social justice, and human rights.

This 3-hour tutorial seeks to replace the current emphasis on algorithms and AI methods, by putting humans at the center of systems design thinking, in effect a second Copernican revolution. It offers three ideas:

(1) A 2-dimensional HCAI framework, which shows how it is possible to have both high levels of human control AND high levels of automation
(2) A plea to shift language, imagery, and metaphors away from intelligent autonomous teammates to powerful tool-like appliances and tele-operated devices
(3) A 3-level governance structure that describes how software engineering teams can develop more reliable systems, how managers can emphasize a safety culture across teams, and how industry-wide certification can promote trustworthy HCAI systems.

These ideas will be challenged by some, refined by others, extended to accommodate new technologies, and validated with quantitative and qualitative research. They offer a reframe, a chance to restart design discussions for products and services, which could bring greater benefits to individuals, families, communities, businesses, and society.

More details to come

Ben Shneiderman, PhD

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, 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, and NAI, and a Member of the National Academy of Engineering, 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.