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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
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Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
(Taschenbuch, Englisch)
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Beschreibung
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. For sensitive 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 to perform 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 of interpretable 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. 117,69 €
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Technische Daten
Erscheinungsdatum
30.08.2019
Sprache
Englisch
EAN
9783030289539
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Lecture Notes in Artificial Intelligence
Sonderedition
Nein
Seitenanzahl
439
Auflage
1st edition 2019
Einbandart
Taschenbuch
Schlagwörter
artificial intelligence, computer vision, deep Learning, explainable AI, explanation Methods, fuzzy control, fuzzy models, fuzzy rules, fuzzy systems, image processing, interpretability, machine learning, neural networks, semantics, transparency, visualization
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQV - Maschinelles Sehen, Bildverstehen
UB - Informationstechnik (IT), allgemeine Themen
UR - Computersicherheit
UTN - Netzwerksicherheit
UK - Computerhardware
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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