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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| Main Author: | |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
KIT Scientific Publishing
2023
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| Series: | The Karlsruhe Series on Software Design and Quality
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 245 | 1 | 0 | |a Evaluating Architectural Safeguards for Uncertain AI Black-Box Components |
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| 490 | 1 | |a The Karlsruhe Series on Software Design and Quality | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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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| 546 | |a English | ||
| 650 | 7 | |a Mathematics & science |2 bicssc | |
| 653 | |a self-adaptive systems; safeguarding AI; architectural reliability analysis; Software engineering; Selbst-Adaptive Systeme; Absicherung von KI; architekturelle Zuverlässigkeitsanalyse; Softwaretechnik | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/20.500.12657/77095/1/evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/122080 |7 0 |z DOAB: description of the publication |