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Evaluating Architectural Safeguards for Uncertain AI Black-Box Components
Abstract
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- doc-type:doctoralThesis
- Text
- info:eu-repo/semantics/doctoralThesis
- dissertation
- info:eu-repo/semantics/publishedVersion
- Softwaretechnik
- architekturelle Zuverlässigkeitsanalyse
- Absicherung von KI
- Selbst-Adaptive Systeme
- Software engineering
- architectural reliability analysis
- safeguarding AI
- self-adaptive systems
- ddc:004
- DATA processing & computer science
- info:eu-repo/classification/ddc/004
Similar works
This paper was published in KITopen.
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