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Evaluating Architectural Safeguards for Uncertain AI Black-Box Components

Evaluating Architectural Safeguards for Uncertain AI Black-Box Components

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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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This work has been downloaded 19 times via unglue.it ebook links.
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Keywords

  • Absicherung von KI
  • architectural reliability analysis
  • architekturelle Zuverlässigkeitsanalyse
  • Mathematics & science
  • safeguarding AI
  • Selbst-Adaptive Systeme
  • self-adaptive systems
  • Software engineering
  • Softwaretechnik
  • thema EDItEUR::P Mathematics and Science

Links

DOI: 10.5445/KSP/1000161585

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