Human-Centered AI (Hardcover)

Human-Centered AI By Ben Shneiderman Cover Image

Human-Centered AI (Hardcover)

$24.95


On Our Shelves Now at:
Politics and Prose at 5015 Connecticut Avenue NW
1 on hand, as of Dec 8 1:19am
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology.

In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
Ben Shneiderman, Professor, University of Maryland Ben Shneiderman is an emeritus distinguished university professor in the Department of Computer Science at the University of Maryland. His widely used contributions include clickable highlighted weblinks, 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 also the 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 US National Academy of Engineering, in recognition of his pioneering contributions to human-computer interaction and information visualization.
Product Details ISBN: 9780192845290
ISBN-10: 0192845292
Publisher: Oxford University Press, USA
Publication Date: February 10th, 2022
Pages: 400
Language: English