A Governance Architecture for Accountable AI Systems
Buch, Englisch, 353 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-39833-8
Verlag: Springer
This book provides the first comprehensive architecture for designing accountable, auditable, and enforceable AI systems. Moving beyond principles and policy debates, this book introduces lifecycle governance models, responsibility matrices, audit trail frameworks, and compliance scoring systems that embed ethics directly into system design.
The book is written for AI engineers, governance architects, regulators, and advanced graduate students. It equips readers with the tools needed to transform ethical aspiration into operational reality in an era of mandatory AI audits and liability enforcement.
The book introduces the following key modules:
- Lifecycle-based governance models
- Responsibility mapping matrices
- Audit trail architectures
- Ethical compliance scoring systems
- Risk-tiered monitoring frameworks
- Post-deployment oversight mechanisms
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
The Accountability Gap in AI Systems.- AI Governance Landscape and Regulatory Frameworks.- Accountability Engineering Designing Governance Architectures.- PreDeployment Governance Across the AI Lifecycle.- Deployment Monitoring and PostMarket Accountability.- Assurance Infrastructure and Auditability.- Applied Governance and Case Studies.- Toward Enforceable AI Governance Systems.- Practical Governance Toolkit.




