Artificial intelligence - When do machines take over?

1. Front Matter

   Pages i-xi

   PDF

2. Introduction: What Is AI?

   • Klaus Mainzer

   Pages 1-5

3. A Short History of the AI

   • Klaus Mainzer

   Pages 7-13

4. Logical Thinking Becomes Automatic

   • Klaus Mainzer

   Pages 15-45

5. Systems Become Experts

   • Klaus Mainzer

   Pages 47-58

6. Computers Learn to Speak

   • Klaus Mainzer

   Pages 59-83

7. Algorithms Simulate Evolution

   • Klaus Mainzer

   Pages 85-100

8. Neuronal Networks Simulate Brains

   • Klaus Mainzer

   Pages 101-139

9. Robots Become Social

   • Klaus Mainzer

   Pages 141-156

10. Infrastructures Become Intelligent

    • Klaus Mainzer

    Pages 157-182

11. From Natural and Artificial Intelligence to Superintelligence?

    • Klaus Mainzer

    Pages 183-241

12. How Safe Is Artificial Intelligence?

    • Klaus Mainzer

    Pages 243-266

13. Artificial Intelligence and Responsibility

    • Klaus Mainzer

    Pages 267-279

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.

• 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

• Emeritus of Excellence, Technical University of Munich, Munich, Germany

  Klaus Mainzer

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).

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