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  2. Teknologi: generelt
  3. Ingeniørvidenskab: generelt

Artificial intelligence - When do machines take over?

Af: Klaus Mainzer Engelsk Paperback

Artificial intelligence - When do machines take over?

Af: Klaus Mainzer Engelsk Paperback
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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.

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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.

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Produktdetaljer
Sprog: Engelsk
Sider: 279
ISBN-13: 9783662597163
Indbinding: Paperback
Udgave:
ISBN-10: 3662597160
Kategori: Ingeniørvidenskab: generelt
Udg. Dato: 24 okt 2019
Længde: 17mm
Bredde: 204mm
Højde: 127mm
Forlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Oplagsdato: 24 okt 2019
Forfatter(e): Klaus Mainzer
Forfatter(e) Klaus Mainzer

Kategori Ingeniørvidenskab: generelt

ISBN-13 9783662597163

Sprog Engelsk

Indbinding Paperback

Sider 279

Udgave

Længde 17mm

Bredde 204mm

Højde 127mm

Udg. Dato 24 okt 2019

Oplagsdato 24 okt 2019

Forlag Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

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