Human-Centered AI - Hardcover
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Languages:EnglishPublisher:Oxford University PressISBN-13:9780192845290ISBN-10:192845292UPC:9780192845290Book Category:ComputersBook Subcategory:Human-Computer Interaction (HCI), Computer Science, Artificial IntelligenceSize:8.80 x 6.10 x 1.30 inchesWeight:1.8Product ID:SCYRF90N8G
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.
Languages:EnglishPublisher:Oxford University PressISBN-13:9780192845290ISBN-10:192845292UPC:9780192845290Book Category:ComputersBook Subcategory:Human-Computer Interaction (HCI), Computer Science, Artificial IntelligenceSize:8.80 x 6.10 x 1.30 inchesWeight:1.8Product ID:SCYRF90N8G
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.
Publisher: Oxford University Press
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