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© 2020

Artificial intelligence - When do machines take over?

Book

Part of the Technik im Fokus book series (TECHNIK)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Klaus Mainzer
    Pages 1-5
  3. Klaus Mainzer
    Pages 7-13
  4. Klaus Mainzer
    Pages 15-45
  5. Klaus Mainzer
    Pages 47-58
  6. Klaus Mainzer
    Pages 59-83
  7. Klaus Mainzer
    Pages 85-100
  8. Klaus Mainzer
    Pages 101-139
  9. Klaus Mainzer
    Pages 141-156
  10. Klaus Mainzer
    Pages 157-182
  11. Klaus Mainzer
    Pages 243-266
  12. Klaus Mainzer
    Pages 267-279

About this book

Introduction

Everybody knows them. Smartphones that talk to us, wristwatches that record our health data, workflows that organize themselves automatically, cars, airplanes and drones that control themselves, traffic and energy systems with autonomous logistics or robots that explore distant planets are technical examples of a networked world of intelligent systems. Machine learning is dramatically changing our civilization. We rely more and more on efficient algorithms, because otherwise we will not be able to cope with the complexity of our civilizing infrastructure. 

But how secure are AI algorithms? This challenge is taken up here: Complex neural networks are fed and trained with huge amounts of data (big data). The number of necessary parameters explodes exponentially. Nobody knows exactly what is going on in these "black boxes". In machine learning we need more explainability and accountability of causes and effects in order to be able to decide ethical and legal questions of responsibility (e.g. in autonomous driving or medicine). Besides causal learning, we also analyze procedures of tests and verification to get certified AI-programs.  

Since its inception, AI research has been associated with great visions of the future of mankind. It is already a key technology that will decide the global competition of social systems. "Artificial Intelligence and Responsibility" is another central supplement to this book: How should we secure our individual liberty rights in the AI world? This book is a plea for technology design: AI must prove itself as a service in society.



Keywords

Abstract machine Big Data ELIZA Industry 4.0 Intelligent Systems AI LISP Natural Intelligence Neural Networks PROLOG Swarm intelligence (SI) Superintelligence WATSON Industrial Internet of Things SMART Manufacturing and Smart Factory

Authors and affiliations

  1. 1.Emeritus of ExcellenceTechnical University of MunichMunichGermany

About the authors

Prof. Klaus Mainzer studied mathematics, physics and philosophy at the University of Münster, where he also earned his doctorate in philosophy (1973) and habilitated. Before his appointment to the Chair of Philosophy and Philosophy of Science at the TUM and his appointment as Director of the Carl von Linde Academy in 2008, he worked as Professor (1981-1988) and Prorector (1985-1988) at the University of Konstanz and as Professor and Founding Director of the Institute for Interdisciplinary Computer Science (1988-2008) at the University of Augsburg. He is a member of numerous (inter)national committees and academies. From 2012 to 2014 he was founding director of the Munich Center for Technology in Society (MCTS).

Bibliographic information

  • Book Title Artificial intelligence - When do machines take over?
  • Authors Klaus Mainzer
  • Series Title Technik im Fokus
  • Series Abbreviated Title Technik im Fokus
  • DOI https://doi.org/10.1007/978-3-662-59717-0
  • Copyright Information Springer-Verlag GmbH Germany, part of Springer Nature 2020
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-662-59716-3
  • eBook ISBN 978-3-662-59717-0
  • Series ISSN 2194-0770
  • Series E-ISSN 2194-0789
  • Edition Number 1
  • Number of Pages XI, 279
  • Number of Illustrations 47 b/w illustrations, 10 illustrations in colour
  • Additional Information Translation from the German Language edition: Mainzer: Künstliche Intelligenz - Wann übernehmen die Maschinen? , © Springer-Verlag GmbH Deutschland 2018
  • Topics Popular Science in Technology
    Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site