Design a scalable AI governance program that protects innovation, manages risk, and builds long-term enterprise trust.

Practical AI Governance equips senior AI, technology, risk, and business leaders with a structured framework for embedding responsible AI oversight across complex organizations. As AI investment accelerates and regulatory scrutiny intensifies, this book outlines a proactive governance model designed to align innovation with accountability, resilience, and measurable business value.

Written by Shoshana Rosenberg, co-founder of Women in AI Governance, the book draws on deep practitioner expertise at the intersection of AI, privacy, and enterprise risk. This book gives practitioners the flexibility to right-size governance to the organization's goals, risk appetite, and operating conditions.

You'll learn how to:
- Design a program built on proactive engagement, centralized intelligence, and adaptive governance all driven by continuous monitoring
- Build on to existing risk, security, and compliance frameworks
- Establish continuous monitoring and accountability mechanisms
- Adapt to evolving regulatory and stakeholder expectations
- Direct investment toward what protects margins and strengthens competitive positions

With clear implementation, Practical AI Governance provides the strategic framework and the diagnostic questions that expose what current compliance programs cannot see.

Themes include: AI governance, responsible AI, AI risk management, regulatory compliance, AI strategy