Explainable AI: interpreting, explaining and visualizing deep learning (Record no. 2633)

MARC details
000 -LEADER
fixed length control field 02382nam a22002657a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220813104644.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220716b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030289539
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number SAM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Samek, Wojciech
245 ## - TITLE STATEMENT
Title Explainable AI: interpreting, explaining and visualizing deep learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer
Place of publication, distribution, etc. Switzerland
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent xi, 438 p.
365 ## - TRADE PRICE
Price type code EURO
Price amount 79.99
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>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 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.<br/><br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer security
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer organization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer network architectures
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Montavon, Gregoire
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Vedaldi, Andrea
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB842 30-06-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 07/16/2022 Technical Bureau India Pvt. Ltd. 4523.03   006.3 SAM 002800 07/16/2022 1 6879.14 07/16/2022 Book

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