Evaluating Architectural Safeguards for Uncertain AI Black-Box Components
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 architectura...
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| Format: | eBook |
| Language: | English |
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KIT Scientific Publishing
2023
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| Series: | The Karlsruhe Series on Software Design and Quality
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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | 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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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/ |
| Physical Description: | 1 electronic resource (472 p.) |
| ISBN: | 1000161585 9783731513209 |