Human Centered AI

This book PDF is perfect for those who love Computers genre, written by Ben Shneiderman and published by Oxford University Press which was released on 24 April 2024 with total hardcover pages 390. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Human Centered AI books below.

Human Centered AI
Human Centered AI
Author : Ben Shneiderman
File Size : 49,9 Mb
Publisher : Oxford University Press
Language : English
Release Date : 24 April 2024
ISBN : 9780192845290
Pages : 390 pages
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Human Centered AI by Ben Shneiderman Book PDF Summary

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.

Human Centered AI

Human Centered AI by Ben Shneiderman

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,

Get Book
Human in the Loop Machine Learning

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Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices

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Design Anthropology by Wendy Gunn,Ton Otto,Rachel Charlotte Smith

Design Anthropology provides the definitive introduction to the field of design anthropology and the concepts, methods, practices and challenges of this exciting and emerging area of study

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Human Compatible

Human Compatible by Stuart Russell

"The most important book on AI this year." --The Guardian "Mr. Russell's exciting book goes deep, while sparkling with dry witticisms." --The Wall Street Journal "The most important book I have read in quite some time" (Daniel Kahneman); "A must-read" (Max Tegmark); "The book we've all been waiting for" (Sam

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Radically Human by Paul Daugherty,H. James Wilson

Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their

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Designing Agentive Technology by Christopher Noessel

Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and

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Machine Learning for Health Informatics by Andreas Holzinger

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse

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Artificial Intelligence in HCI

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This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence in HCI, AI-HCI 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222

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