Description: Further DetailsTitle: Explainable AI: Interpreting, Explaining and Visualizing Deep LearningCondition: NewEAN: 9783030289539ISBN: 9783030289539Edition: 1st ed. 2019Publisher: Springer Nature Switzerland AGFormat: PaperbackRelease Date: 08/30/2019Description: 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. Language: EnglishCountry/Region of Manufacture: CHItem Height: 235mmItem Length: 155mmContributor: Andrea Vedaldi (Edited by), Lars Kai Hansen (Edited by), Wojciech Samek (Edited by), Klaus-Robert Müller (Edited by), Grégoire Montavon (Edited by)Genre: Computing & InternetBook Series: Lecture Notes in Artificial IntelligenceAuthor: Wojciech SamekRelease Year: 2019 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Explainable AI: Interpreting, Explaining and Visualizing Deep Lea
Title: Explainable AI: Interpreting, Explaining and Visualizing Deep Lea
EAN: 9783030289539
ISBN: 9783030289539
Edition: 1st ed. 2019
Release Date: 08/30/2019
Release Year: 2019
Country/Region of Manufacture: CH
Item Height: 235mm
Contributor: Grégoire Montavon (Edited by)
Genre: Computing & Internet
Number of Pages: Xi, 439 Pages
Publication Name: Explainable Ai: Interpreting, Explaining and Visualizing Deep Learning
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2019
Subject: Intelligence (Ai) & Semantics, General, Computer Vision & Pattern Recognition
Item Weight: 24.3 Oz
Type: Textbook
Item Length: 9.3 in
Author: Grégoire Montavon
Subject Area: Computers
Series: Lecture Notes in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
