Humanity driven AI : productivity, well-being, sustainability and partnership / Fang Chen, Jianlong Zhou, editors.
Chen, Fang (Researcher on machine learning), editor.; Zhou, Jianlong, editor.
2022
Q335
Available Online

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Title Humanity driven AI : productivity, well-being, sustainability and partnership / Fang Chen, Jianlong Zhou, editors.
ISBN 9783030721886 (electronic bk.)
3030721884 (electronic bk.)
3030721876
9783030721879
DOI https://doi.org/10.1007/978-3-030-72188-6
Imprint Cham, Switzerland : Springer, [2022]
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-030-72188-6 doi
Call Number Q335
Dewey Decimal Classification 006.3
Summary 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 driven AI, establishing state-of-the-art research, and providing a ground-breaking book for graduate students, research professionals, and AI practitioners.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 16, 2021).
Added Author Chen, Fang (Researcher on machine learning), editor.
Zhou, Jianlong, editor.
Available in Other Form Print version: 9783030721879
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Record Appears in Online Resources > Ebooks
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Part I AI and Humanity
Towards Humanity-in-The-Loop in AI Lifecycle
AI and Ethics
Operationalising Responsible AI
Part II AI for Productivity
Machine Learning for Efficient Water Infrastructure Management
AI for Real-Time Bus Travel Time Prediction in Traffic Congestion Management
The Future of Transportation: How to Improve Railway Operation Performance via Advanced AI Techniques
Part III AI for Wellbeing
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
AI-Enhanced 3D Biomedical Data Analytics for Neuronal Structure Reconstruction
Artificial Intelligence for Fighting the COVID-19 Pandemic
Part IV AI for Sustainability
Sewer Corrosion Prediction for Sewer Network Sustainability
AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation
SharkSpotter: Shark Detection with Drones for Human Safety and Environmental Protection
AI + Human Partnership
Learner Engagement Examination via Computer Usage Behaviors
Virtual Teaching Assistants: Technologies, Applications and Challenges
Artificial Intelligence and People with Disabilities: A Reflection on Human-AI Partnerships
Towards a Taxonomy for Explainable AI in Computational Pathology.

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