AI Act and The Agile Safety Plan

Häftad, Engelska, 2025

Av Thor Myklebust, Tor Stålhane, Dorthea Mathilde Kristin Vatn, Tor Stalhane

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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.

Produktinformation

Utgivningsdatum2025-01-28
Mått155 x 235 x 10 mm
Vikt265 g
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Computer Science
Antal sidor156
FörlagSpringer International Publishing AG
ISBN9783031805035

Tillhör följande kategorier

Informationsteknik: allmänt inom Data och it
Programvaruutveckling inom Data och it
Artificiell intelligens inom Data och it
IT-rätt och kommunikationsrätt inom Juridik
Nätverk och kommunikation inom Data och it
IT-säkerhet inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik
Hårdvara inom Data och it

Thor Myklebust is a Senior Research Scientist at SINTEF Digital. He has extensive experience as a research leader and project manager at both the national and international level and is considered a leading safety expert with 30 years of experience in industry, certification, and research.Tor Stålhane has been working with software safety for 40 years. As a professor, he taught software engineering at NTNU and has been cooperating with SINTEF on research and consultancy related to agility and software safety for 20 years.Dorthea Mathilde Kristin Vatn works as a Research Scientist at SINTEF Digital. With her background from psychology, human factors and information systems, her research is directed towards questions concerning how interactions between people and technology relate to both safety and cybersecurity, as well as other business outcomes.

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.