Artificial Intelligence for Sustainable Development

This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors ill...

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Auteurs principaux: Haldorai, Anandakumar (Auteur), R, Babitha Lincy (Auteur), Murugan, Suriya (Auteur), Balakrishnan, Minu (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:anglais
Publié: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Édition:1st ed. 2024.
Collection:EAI/Springer Innovations in Communication and Computing,
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Accès en ligne:https://doi.org/10.1007/978-3-031-53972-5
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Résumé:This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world. Integrates AI with principles of sustainable development, bridging the gap between technology and global challenges; Provides case studies and examples, showcasing AI's potential in areas from agriculture to healthcare to conservation; Prioritizes ethical dimensions of AI in sustainable development, addressing bias, fairness, and transparency.
Description matérielle:1 online resource (X, 499 p. 217 illus.). 206 illus. in color.
ISBN:9783031539725
ISSN:2522-8609
DOI:10.1007/978-3-031-53972-5