Editors:
- Systematic view of humanity benefits that AI can provide from the perspect of productivity, well-being, sustainability
- Explores the state-of-the-art advances in how AI functions as a facilitator to achieve and enhance human needs
- Serves as a dedicated source for the theories, methodologies, and applications on humanity driven AI
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Table of contents (15 chapters)
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Front Matter
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AI and Humanity
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Front Matter
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About this book
Artificial Intelligence (AI) is changing the world around us, and it is changing the way people are living, working, and entertaining. As a result, demands for understanding how AI functions to achieve and enhance human goals from basic needs to high level well-being (whilst maintaining human health) are increasing. This edited book systematically investigates how AI facilitates enhancing human needs in the digital age, and reports on the state-of-the-art advances in theories, techniques, and applications of humanity driven AI. Consisting of five parts, it covers the fundamentals of AI and humanity, AI for productivity, AI for well-being, AI for sustainability, and human-AI partnership.
Humanity Driven AI creates an important opportunity to not only promote AI techniques from a humanity perspective, but also to invent novel AI applications to benefit humanity. It aims to serve as the dedicated source for the theories, methodologies, and applications on humanity drivenAI, establishing state-of-the-art research, and providing a ground-breaking book for graduate students, research professionals, and AI practitioners.
Editors and Affiliations
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University of Technology Sydney, Sydney, Australia
Fang Chen, Jianlong Zhou
About the editors
Dr. Zhou is a leading senior researcher in trustworthy and transparent machine learning, and has done pioneering research in the area of linking human and machine learning. He also works with industries in advanced data analytics for transforming data into actionable operations particularly by incorporating human user aspects into machine learning and translate machine learning into impacts in real world applications.
Bibliographic Information
Book Title: Humanity Driven AI
Book Subtitle: Productivity, Well-being, Sustainability and Partnership
Editors: Fang Chen, Jianlong Zhou
DOI: https://doi.org/10.1007/978-3-030-72188-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-72187-9Published: 02 December 2021
Softcover ISBN: 978-3-030-72190-9Published: 03 December 2022
eBook ISBN: 978-3-030-72188-6Published: 01 December 2021
Edition Number: 1
Number of Pages: XIV, 330
Number of Illustrations: 10 b/w illustrations, 101 illustrations in colour
Topics: Artificial Intelligence, User Interfaces and Human Computer Interaction, Computers and Society