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Evaluating Architectural Safeguards for Uncertain AI Black-Box Components

Download or Read eBook Evaluating Architectural Safeguards for Uncertain AI Black-Box Components PDF written by Scheerer, Max and published by KIT Scientific Publishing. This book was released on 2023-10-23 with total page 472 pages. Available in PDF, EPUB and Kindle.
Evaluating Architectural Safeguards for Uncertain AI Black-Box Components
Author :
Publisher : KIT Scientific Publishing
Total Pages : 472
Release :
ISBN-10 : 9783731513209
ISBN-13 : 373151320X
Rating : 4/5 (09 Downloads)

Book Synopsis Evaluating Architectural Safeguards for Uncertain AI Black-Box Components by : Scheerer, Max

Book excerpt: Although tremendous progress has been made in Artificial Intelligence (AI), it entails new challenges. The growing complexity of learning tasks requires more complex AI components, which increasingly exhibit unreliable behaviour. In this book, we present a model-driven approach to model architectural safeguards for AI components and analyse their effect on the overall system reliability.


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