Education and Technological Unemployment

This book examines the challenge of accelerating automation, and argues that countering and adapting to this challenge requires new methodological, philosophical, scientific, sociological, economic, ethical, and political perspectives that fundamentally r

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n and Technological Unemployment

Education and Technological Unemployment

Michael A. Peters Petar Jandrić Alexander J. Means •



Editors

Education and Technological Unemployment

123

Editors Michael A. Peters Beijing Normal University Beijing, China

Petar Jandrić Zagreb University of Applied Sciences Zagreb, Croatia

Alexander J. Means University of Hawaiʻi at Mānoa Honolulu, HI, USA

ISBN 978-981-13-6224-8 ISBN 978-981-13-6225-5 https://doi.org/10.1007/978-981-13-6225-5

(eBook)

Library of Congress Control Number: 2018968373 © Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

Technological unemployment is a crucial issue of our time. The evaluations of its likelihood vary with increasing reports coming down on the side of severe economic and social disruption, although there are dissenters who dispute the evidence and argue that the new technologies will produce as many jobs as they destroy. To us, this positive reading and prediction is based on a misreading of the nature of the new technologies and their convergence and synergy. With the so-called nano-info-bio-cogno technologies and their convergence, there is little doubt that we are not facing a straightforward and linear development. The changes are exponential and dynamic. They will be far reaching. When one contemplates the next generation driven by the power of quantum computing and advance algorithms that drive Industry 4.0 and ‘intelligent’ manufacturing, it is clear from emergent and early existing experimental practices that these tendencies will accelerate and lead to labourless factories working on a 24/7 cycle. This is not to embrace a technolog