Buch, Englisch, 156 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
Buch, Englisch, 156 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
Reihe: SpringerBriefs in Computer Science
ISBN: 978-3-031-80503-5
Verlag: Springer Nature Switzerland
This open access book aims to provide the reader with some basic insight into the AI Act (REGULATION (EU) 2024/1689) and its relevance for the development of high-risk AI systems. It covers all aspects relevant in a safety plan that should serve as the foundation for developing future safety cases for AI safety systems. The topics include e.g. the system definition; hardware, software and its lifecycles; stakeholders and organizations; tools, programming languages, and existing software to be integrated; documentation and work products; procurement and subcontracting; and human aspects.
The book aims at experts and stakeholders involved in developing high risk systems, both manufacturers and operators. It is also written for everyone having an interest in how the AI Act impacts technology development processes generally. As such, especially start-ups and small and medium-sized enterprises (SMEs) will find this book useful.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
Weitere Infos & Material
1. Introduction to the Book.- 2. The Agile Safety Plan.- 3. Definition of the System, Operational Design Domain, and Concept of Operation.- 4. Hardware/Chip.- 5. Software and Data.- 6. Artificial Intelligence (AI).- 7. Stakeholders and Organizations.- 8. Compliance with Regulations, AI and Functional Safety Standards.- 9. Planning Tests, Analysis, Scenarios, Verification, Validation, and Regression.- 10. Software and AI Lifecycles.- 11. Tools, Programming Languages, and Pre-existing Software.- 12. Hazards and Risks.- 13. Requirements.- 14. System Design Plan.- 15. Documentation, Information, and Work Products.- 16. Human Aspects.- 17. Level of Automation and Autonomy.- 18. A Process to Prepare Safety Cases.- 19. Procurement and Subcontractors.