Artificial intelligence is no longer a research experiment. It approves loans, screens resumes, diagnoses patients, moderates content, and powers the infrastructure of modern life. With that power comes a new discipline: AI governance.
*AI Governance: The Landscape* is the first volume in the OpenClaw AI Governance Series, designed to take a complete beginner to subject-matter competence. Written through human-AI collaboration, the book explains the landscape of AI governance without copying from source material and without dumbing down the subject.
The book covers the fundamentals: what AI governance is and how it differs from engineering, security, and compliance; why governance has become urgent; the regulatory ecosystems of the European Union, the United States, China, and international standards bodies; how to classify AI systems by risk; and the core concepts that every governance professional needs — model cards, impact assessments, human oversight, transparency, accountability, and redress. It also makes the business case for governance, maps the stakeholders involved, and shows how to move from high-minded principles to day-to-day practice.
Each chapter includes learning objectives, imaginary use cases, real-world-inspired case studies, a chapter checkpoint, and an exercise. Nine comic-style illustrations provide visual breaks and reinforce key metaphors. A glossary, further-reading appendix, and publishing metadata round out the volume.
The result is a book that is accessible to newcomers but substantive enough to serve as a reference for practitioners, students, and professionals considering a career in one of the fastest-growing fields in technology.
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