دانلود کتاب راهنمای آمادگی برای آزمون گواهی‌نامه حرفه‌ای حاکمیت هوش مصنوعی (AIGP)؛ آمادگی برای آزمون AIGP با تمرکز بر حاکمیت و ریسک هوش مصنوعی

Artificial Intelligence is rapidly transforming the way organizations operate, make decisions, and deliver products and services. From generative AI assistants and intelligent automation to predictive analytics and autonomous systems, AI has moved from research laboratories into everyday business operations. As AI capabilities continue to expand, organizations face an equally important challenge: ensuring these technologies are developed, deployed, and governed responsibly. Effective AI governance is no longer limited to legal compliance or ethical discussions. It has become an essential business capability that enables organizations to manage risk, protect individuals, maintain trust, and comply with an evolving global regulatory landscape. Whether implementing internal AI solutions or integrating third-party models, organizations need structured governance practices that balance innovation with accountability. This book provides a practical, exam-focused guide to Artificial Intelligence Governance. It explains how governance frameworks, organizational processes, risk management, ethical principles, and regulatory requirements work together throughout the AI lifecycle. Each chapter combines conceptual understanding with practical examples and real-world scenarios, allowing readers to understand not only what governance requires but also why it matters and how it is applied in practice. The content has been carefully structured to support professionals preparing for the IAPP Artificial Intelligence Governance Professional (AIGP) certification while also serving as a practical reference for organizations building responsible AI governance programs. Throughout the book, concepts are introduced progressively from AI fundamentals and governance principles to risk management, development governance, deployment governance, and regulatory compliance under the EU AI Act. The book focuses on practical decision-making, governance thinking, and scenario-based learning. Each topic explains how governance decisions inàuence the complete lifecycle of AI systems, helping readers develop the analytical skills required for certification examinations as well as real-world governance responsibilities.