| id |
oapen-20.500.12657-77095
|
| record_format |
dspace
|
| spelling |
oapen-20.500.12657-770952023-11-15T09:17:26Z Evaluating Architectural Safeguards for Uncertain AI Black-Box Components Scheerer, Max self-adaptive systems; safeguarding AI; architectural reliability analysis; Software engineering; Selbst-Adaptive Systeme; Absicherung von KI; architekturelle Zuverlässigkeitsanalyse; Softwaretechnik bic Book Industry Communication::P Mathematics & science 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. 2023-10-31T13:53:19Z 2023-10-31T13:53:19Z 2023 book https://library.oapen.org/handle/20.500.12657/77095 eng The Karlsruhe Series on Software Design and Quality application/pdf Attribution-ShareAlike 4.0 International evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf https://doi.org/10.5445/KSP/1000161585 KIT Scientific Publishing 10.5445/KSP/1000161585 10.5445/KSP/1000161585 44e29711-8d53-496b-85cc-3d10c9469be9 39 472 open access
|
| institution |
OAPEN
|
| collection |
DSpace
|
| language |
English
|
| description |
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.
|
| title |
evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
|
| spellingShingle |
evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
|
| title_short |
evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
|
| title_full |
evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
|
| title_fullStr |
evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
|
| title_full_unstemmed |
evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
|
| title_sort |
evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
|
| publisher |
KIT Scientific Publishing
|
| publishDate |
2023
|
| url |
https://doi.org/10.5445/KSP/1000161585
|
| _version_ |
1799945278865801216
|
