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AI governance (book category) covers the policies, institutions, norms and practical tools that shape how artificial intelligence is developed, deployed and regulated. Works in this category examine ethical principles (fairness, accountability, transparency), legal and regulatory frameworks, risk management and safety, corporate and public-sector governance structures, and international coordination. They range from theoretical analysis of power, rights and responsibility to hands‑on guides for compliance, audit, model documentation, procurement and oversight, plus case studies of real‑world governance successes and failures. The audience includes policymakers, lawyers, business leaders, technologists and scholars seeking frameworks to ensure AI serves public interest while managing societal, economic and security risks.

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