Governing Giants: Enterprise Risk Management's Role in AI Governance

Second Edition - Sept 2025 - 100-Day Update: When Governing Giants first launched in May 2025, it gave leaders a roadmap for AI governance rooted in enterprise risk management. Just 100 days later, the AI landscape has shifted so dramatically that a new edition was essential. Today, I’m excited to announce the release of the 100-Day Update Edition of Governing Giants. Among the highlights: From Paper to Code: Governance has moved into the software pipeline itself. This edition introduces Eval-as-Code, Governance-as-Code, and Autonomy Budgets that enforce ethical limits at runtime. Data Oversight 2.0: New guardrails for Retrieval-Augmented Generation (RAG), synthetic data governance, and lineage dashboards ensure every AI decision can be traced, audited, and trusted. New Architectures: Coverage of cutting-edge systems like loop-based reasoning (HRM Singapore), diffusion reasoning models, continuous-thought LLMs, neuromorphic spiking computers, and open-weight models—paired with audit hooks to keep oversight ahead of innovation. DeepSeek’s Bold Move: Updated case study on DeepSeek V3.1, now running fully locally and sparking global regulatory pushback, showing how governance challenges have become geopolitical. Regulation in Motion: Enforcement is here. From the EU AI Act and Council of Europe treaty to Trump’s EO 14179, Texas and California laws, and China’s new transparency mandates, the global patchwork of rules is no longer hypothetical—it’s operational. The 100-Day Update Edition is both a continuation and a promise: that Governing Giants will evolve as quickly as the technology it seeks to guide. And it is a bridge to the next book in this series, Governing the Agentic Workforce, which will explore how we govern not just AI giants, but autonomous AI colleagues working alongside us. The giants are growing. So is our capacity to govern them. Version 1 Published May 2025 : Governing Giants: Enterprise Risk Management’s Role in AI Governance In a world where AI decisions can shape financial markets, national security, and the future of work, governance is no longer optional—it’s mission critical. Governing Giants equips risk leaders, C-level executives, and policymakers with practical, real-world tools to align AI systems with human values, regulatory expectations, and organizational goals. In this must-read guide, you’ll learn: How to integrate AI risks into enterprise risk management portfolios How to design governance programs aligned to NIST AI RMF, EU AI Act, and global frameworks How to balance innovation with oversight in AI-driven business models Practical strategies for establishing AI Ethics Boards, internal audits, and model monitoring Key insights into AI deception, long-horizon planning risks, and automated governance mechanisms Whether you’re a CRO, CISO, compliance officer, or technologist, this book is your blueprint for building trust in intelligent systems—and in your organization’s future. Trust is the new differentiator. Make sure your AI earns it. In Governing Giants: Enterprise Risk Management’s Role in AI Governance, Friedman provides a strategic roadmap for businesses to assess, develop, and implement AI governance frameworks that align with both innovation and compliance. As AI continues to redefine the competitive landscape, the ability to govern it effectively will separate the leaders from the laggards. This essential guide is a must-read for executives, risk management officers, and technology strategists looking to harness AI’s potential while safeguarding their organization’s future.
ASIN: B0F53X5H7X
VSKU: BVV.B0F53X5H7X.VG
Condition: Very Good
Author/Artist:Friedman, Nicholas
Binding: Paperback