Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership

Length: 344 pages
Edition: 1
Language: English
Publisher: Springer
Publication Date: 2022-01-02
ISBN-10: 3030721876
ISBN-13: 9783030721879
Sales Rank: #0 (See Top 100 Books)

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.

Cover
Front Matter
AI and Humanity
    Towards Humanity-in-the-Loop in AI Lifecycle
    AI and Ethics—Operationalizing Responsible AI
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
AI for Well-being
    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
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