AI systems are moving from experimentation into enterprise-critical operations. The question is no longer whether to govern them but how without strangling innovation. *AI and IT Governance* provides a rigorous, immediately applicable answer: a unified framework that bridges classical IT governance (COBIT, ITIL, ISO/IEC 38500) with the demands of machine learning lifecycle management, EU AI Act compliance, and responsible AI deployment. Across 19 chapters and five parts, the monograph spans foundations, key components, implementation, real-world case studies, and the future of AI governance:
Why This Book
Target group
CIOs, CAIOs, and AI product owners seeking strategic clarity; compliance, legal, and data-protection teams navigating EU AI Act and GDPR obligations; data scientists and MLOps engineers who need governance context for their daily work; risk managers and internal auditors building AI-specific control frameworks; and graduate students in information management, business informatics, or law.