Evaluating Architectural Safeguards for Uncertain AI Black-Box Components
- Author
- Scheerer, Max
- Published
- KIT Scientific Publishing 2023
- Physical Description
- 1 online resource (472 p.)
Access Online
- library.oapen.org , Open Access: OAPEN Library, download the publication
- library.oapen.org , Open Access: OAPEN Library: description of the publication
- Series
- Language Note
- English
- Restrictions on Access
- Open Access Unrestricted online access
- 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.
- Subject(s)
- Other Subject(s)
- ISBN
- KSP/1000161585
- Collection
- OAPEN Library.
- Terms of Use and Reproduction
- Creative Commons https://creativecommons.org/licenses/by-sa/4.0/
View MARC record | catkey: 44283604