evaluating-architectural-safeguards-for-uncertain-ai-black-box-components.pdf
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...
| Γλώσσα: | English |
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| Έκδοση: |
KIT Scientific Publishing
2023
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| Διαθέσιμο Online: | https://doi.org/10.5445/KSP/1000161585 |
| Περίληψη: | 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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