Artificial intelligence – When do machines take over


Artificial intelligence - When do machines take over? (Technik im Fokus)
By 作者: Klaus Mainzer
ISBN-10 书号: 3662597160
ISBN-13 书号: 9783662597163
Edition 版本: 1st ed. 2020
Release Finelybook 出版日期: 2019-10-14
pages 页数: (279 )

The Book Description robot was collected from Amazon and arranged by Finelybook

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 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 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.

1.Introduction:What Is Al?
2.A Short History of the Al
3.Logical Thinking Becomes Automatic
4.Systems Become Experts
5.Computers Learn to Speak
6.Algorithms Simulate Evolution
7.Neuronal Networks Simulate Brains
8.Robots Become Social
9.Infrastructures Become Intelligent
10.From Natural and Artificial Intellgence to Superintelligence?
11.How Safe Is Artifhcial Intelligence?
12.Artificial Intelligence and Responsibility

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