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  • Evaluating Architectural Safeguards for Uncertain AI Black-Box Components

    Max Scheerer

    Band 39 von The Karlsruhe Series on Software Design and Quality
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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.

    Umfang: XXVII, 429 S.

    Preis: 50.00 €

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    Empfohlene Zitierweise
    Scheerer, M. 2023. Evaluating Architectural Safeguards for Uncertain AI Black-Box Components. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161585
    Scheerer, M., 2023. Evaluating Architectural Safeguards for Uncertain AI Black-Box Components. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161585
    Scheerer, M. Evaluating Architectural Safeguards for Uncertain AI Black-box Components. KIT Scientific Publishing, 2023. DOI: https://doi.org/10.5445/KSP/1000161585
    Scheerer, M. (2023). Evaluating Architectural Safeguards for Uncertain AI Black-Box Components. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161585
    Scheerer, Max. 2023. Evaluating Architectural Safeguards for Uncertain AI Black-box Components. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161585




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    Veröffentlicht am 23. Oktober 2023

    Seitenanzahl:

    474

    ISBN
    Paperback 978-3-7315-1320-9

    DOI
    https://doi.org/10.5445/KSP/1000161585