Artificial intelligence - When do machines take over?

Klaus Mainzer (Autor)

Buch | Softcover

XI, 279 Seiten

2019 | 1st ed. 2020
Springer Berlin (Verlag)
978-3-662-59716-3 (ISBN)

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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 in the 2nd edition: 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 ethicaland 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 the 2nd edition: 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.

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).

Introduction: What is AI?.- A brief history of AI.- Logical thinking becomes automatic.- Systems become experts.- Computers learn to speak.- Algorithms simulate evolution.- Neural networks simulate brains.- Robots become social.- Automobiles become autonomous.- Factories become intelligent.- From natural to artificial to super intelligence?.

Erscheinungsdatum	29.10.2019
Reihe/Serie	Technik im Fokus
Zusatzinfo	XI, 279 p. 57 illus., 10 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	127 x 203 mm
Gewicht	374 g
Themenwelt	Sachbuch/Ratgeber ► Natur / Technik ► Technik
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik
Schlagworte	Abstract machine • AI • Automaten • Big Data • Eliza • Industrial Internet of Things • Industrie 4.0 • Industry 4.0 • Intelligente Systeme • Intelligent Systems • KI • LISP • natural intelligence • Natürliche Intelligenz • Neural networks • Neuronale Netze • PROLOG • Schwarmintelligenz • SMART Manufacturing and Smart Factory • Superintelligence • Superintelligenz • Swarm Intelligence (SI) • Watson
ISBN-10	3-662-59716-0 / 3662597160
ISBN-13	978-3-662-59716-3 / 9783662597163
Zustand	Neuware