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Evaluating Architectural Safeguards for Uncertain AI Black-Box Components Cover

Evaluating Architectural Safeguards for Uncertain AI Black-Box Components

Volume in the series
The Karlsruhe Series on Software Design and Quality
Publisher:KIT Scientific Publishing
By:   
Open Access
|Oct 2023
Description

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.

Umfang: XXVII, 429 S.

Preis: 50.00 €

Paperback ISBN: 978-3-7315-1320-9 | DOI: https://doi.org/10.5445/KSP/1000161585
Publisher: KIT Scientific Publishing
Publication date: 2023
Pages: 474
Keywords:
Softwaretechnik,
architekturelle Zuverlässigkeitsanalyse,
Absicherung von KI,
Selbst-Adaptive Systeme,
Software engineering,
architectural reliability analysis,
safeguarding AI,
self-adaptive systems
Related subjects:
Computer sciences,
Graphics/sound/video
BISAC subjects:
COM007000
Thema subjects:
UGC,
TGPC

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