Téléchargez le livre : The Rise of Artificial Intelligence and Big Data in Pandemic Society

The Rise of Artificial Intelligence and Big Data in Pandemic Society

Crises, Risk and Sacrifice in a New World Order

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Springer


Paru le : 2022-03-28



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Description

This book presents a study of the COVID-19 pandemic using computational social scientific analysis that draws from, and employs, statistics and simulations. Combining approaches in crisis management, risk assessment, and mathematical modelling, the work also draws from the philosophy of sacrifice, and futurology. It makes an original contribution to the important issue of the stability of society by highlighting two significant factors:  The COVID-19 crisis as a catalyst for change, and the rise of AI and Big Data in managing society.  It also emphasizes the nature and importance of sacrifices, and the role of politics in the distribution of sacrifices. The book considers the treatment of AI and Big Data and their use to both “good” and “bad” ends, exposing the inevitability of these tools being used. Relevant to both policymakers and social scientists interested in the influence of AI and Big Data on the structure of society, the book re-evaluates the ways we think of lifestyles, economic systems, and the balance of power in tandem with digital transformation.
Pages
293 pages
Collection
n.c
Parution
2022-03-28
Marque
Springer
EAN papier
9789811909498
EAN PDF
9789811909504
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
4291 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
147,69 €
EAN EPUB
9789811909504
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
5396 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
147,69 €

Dr. Kazuhiko Shibuya is an Associate Professor at the Faculty of System Design, Tokyo Metropolitan University, Japan. He majored in Computational Social Science, which focuses on social science studies using computational techniques in wide areas such as advanced information technologies, science research policy (including Science and Technology Studies (STS)), digitized data analysis, sustainable environment policy, disaster resilience studies and comprehensive risk studies. He is author of Digital Transformation of Identity in the Age of Artificial Intelligence (Springer 2020).


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