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Artificial Intelligence for Future Society
Proceedings of the 2nd International Conference on Artificial Intelligence for Future Society (AIFS-2025)
Springer
ISBN 978-3-032-08194-0
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2026
70 s/w-Abbildungen, 268 Farbabbildungen.
Umfang: xxi, 944 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-032-08194-0
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Learning and Analytics in Intelligent Systems
Produktbeschreibung
Artificial Intelligence for Future Society: Proceedings of the 2nd International Conference on AIFS-2025 is a collection of cutting-edge research, case studies, and transformative ideas presented by global experts at the forefront of AI innovation. This volume showcases the convergence of intelligence and technology through real-world applications and theoretical advancements that are shaping the future of our society. The proceedings span around five themes:
• Digital Diversity
• Human-Machine Interaction
• Social Impact and Ethical Issues
• Business Intelligence
• Healthcare and Paradigm Shift.
By merging theoretical knowledge with practical applications, this book provides a panoramic view of AI’s role in creating smart, sustainable, and inclusive systems across sectors. The book empowers AI researchers, practitioners, policymakers, or enthusiasts and frame a pathway from adaptive learning models and data-driven society to ethical algorithms and AI-enabled global collaboration. This edition is a definitive reference for anyone committed to advancing technology for the greater good.
• Digital Diversity
• Human-Machine Interaction
• Social Impact and Ethical Issues
• Business Intelligence
• Healthcare and Paradigm Shift.
By merging theoretical knowledge with practical applications, this book provides a panoramic view of AI’s role in creating smart, sustainable, and inclusive systems across sectors. The book empowers AI researchers, practitioners, policymakers, or enthusiasts and frame a pathway from adaptive learning models and data-driven society to ethical algorithms and AI-enabled global collaboration. This edition is a definitive reference for anyone committed to advancing technology for the greater good.
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