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Verlag: Springer, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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Verlag: Springer Nature Switzerland AG, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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Verlag: Springer International Publishing Aug 2019, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The development of 'intelligent' systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to 'intelligent' machines. Forsensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue toperform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications ofinterpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems;evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI. 452 pp. Englisch.
Verlag: Springer International Publishing Aug 2019, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Taschenbuch. Zustand: Neu. Neuware -The development of 'intelligent' systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to 'intelligent' machines. Forsensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue toperform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications ofinterpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems;evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI. 452 pp. Englisch.
Verlag: Springer, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Verlag: Springer, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Verlag: Springer, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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ISBN 10: 3030289532ISBN 13: 9783030289539
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Verlag: Springer International Publishing Aug 2019, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The development of 'intelligent' systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to 'intelligent' machines. Forsensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue toperform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications ofinterpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems;evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Verlag: Springer, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Verlag: Springer-Verlag New York Inc, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Paperback. Zustand: Brand New. 438 pages. 9.50x6.25x0.75 inches. In Stock.
Verlag: SPRINGER NATURE, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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Verlag: Springer Nature Switzerland AG, 2019
ISBN 10: 3030289532ISBN 13: 9783030289539
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