AI Risk Management for the Enterprise: A Practitioner's Guide to Navigating the Intelligent Revolution - Tapa blanda

Sinopsis

Take charge of AI in your organization with practical, step-by-step risk tools that help you spot problems early, make confident decisions, and become the trusted person others turn to when AI is on the line.

This comprehensive guide bridges the gap between traditional enterprise risk management and the emerging challenges of artificial intelligence. Written specifically for risk managers in large organizations, it transforms abstract AI concepts into actionable frameworks, real-world practices, and proven strategies.

The book addresses the fundamental shift facing risk professionals today: AI is no longer a future consideration but a present reality that demands new approaches to identification, assessment, and mitigation. Rather than replacing existing risk management principles, this guide shows how to evolve them for an AI-enabled world.

Each chapter opens with a realistic scenario drawn from actual enterprise experiences, illustrating the human and organizational dimensions of AI risk. These stories ground complex concepts in relatable situations, making the technical accessible and the theoretical practical.

The content balances governance frameworks with technical understanding, emphasizing the NIST AI Risk Management Framework while incorporating insights from EU AI Act, ISO standards, and industry-specific regulations. Readers will find detailed case studies from healthcare, financial services, manufacturing, and technology sectors, demonstrating how leading organizations have successfully integrated AI risk management into their operations.

Throughout the book, Key Concepts boxes provide deeper explanations of complex topics and direct readers to authoritative resources for continued learning. Visual elements including risk matrices, decision trees, assessment frameworks, and process flows enhance comprehension and provide ready-to-adapt templates.

This guide equips risk managers with the knowledge, tools, and confidence to lead their organizations through the AI transformation—not as passive observers of technological change, but as strategic enablers of responsible innovation.

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